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13 results on 'LN cat08778a'

1. Efficiency and Optimization of Buildings Energy Consumption: Volume II.

Author

Orosa, José A. and Orosa, José A.

Subjects
Research & information: general, Physics, ventilation, energy, COVID-19, procedure, building, ISO, energy consumption, building construction, Passivhaus, affordable housing, neural network, LSTM, MLP, thermal inertia, building performance, artificial intelligence, artificial neural network, demand-side management, evolutionary computing, non-intrusive appliance load monitoring, parallel computing, smart grid, smart house, cellular concrete, lightweight materials, thermal conductivity, electricity, dynamic simulation, housing, climate change, weather controlled central system, energy saving, thermal improved of buildings, new energy technologies, sustainable buildings, energy efficiency, heat loss coefficient, machine learning, XGBoost, SVR, load disaggregation, multi-scale, attention mechanism, residual network, energy savings, daylighting, photovoltaic system, EnergyPlus, Homer PRO, Net Zero Energy Buildings, solar radiation, support vector machine, heuristic algorithm, renewable energy, solar energy systems, n/a
Abstract

Summary: This reprint, as a continuation of a previous Special Issue entitled "Efficiency and Optimization of Buildings Energy Consumption", gives an up-to-date overview of new technologies based on Machine Learning (ML) and Internet of Things (IoT) procedures to improve the mathematical approach of algorithms that allow control systems to be improved with the aim of reducing housing sector energy consumption.

2. The Convergence of Human and Artificial Intelligence on Clinical Care - Part I.

Author

Abedi, Vida and Abedi, Vida

Subjects
Medicine, machine learning-enabled decision support system, improving diagnosis accuracy, Bayesian network, bariatric surgery, health-related quality of life, comorbidity, voice change, larynx cancer, machine learning, deep learning, voice pathology classification, imputation, electronic health records, EHR, laboratory measures, medical informatics, inflammatory bowel disease, C. difficile infection, osteoarthritis, complex diseases, healthcare, artificial intelligence, interpretable machine learning, explainable machine learning, septic shock, clinical decision support system, electronic health record, cerebrovascular disorders, stroke, SARS-CoV-2, COVID-19, cluster analysis, risk factors, ischemic stroke, outcome prediction, recurrent stroke, cardiac ultrasound, echocardiography, portable ultrasound, aneurysm surgery, temporary artery occlusion, clipping time, artificial neural network, digital imaging, monocytes, promonocytes and monoblasts, chronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) for acute monoblastic leukemia and acute monocytic leukemia, concordance between hematopathologists, mechanical ventilation, respiratory failure, ADHD, social media, Twitter, pharmacotherapy, stimulants, alpha-2-adrenergic agonists, non-stimulants, trust, passive adherence, human factors
Abstract

Summary: This edited book contains twelve studies, large and pilots, in five main categories: (i) adaptive imputation to increase the density of clinical data for improving downstream modeling; (ii) machine-learning-empowered diagnosis models; (iii) machine learning models for outcome prediction; (iv) innovative use of AI to improve our understanding of the public view; and (v) understanding of the attitude of providers in trusting insights from AI for complex cases. This collection is an excellent example of how technology can add value in healthcare settings and hints at some of the pressing challenges in the field. Artificial intelligence is gradually becoming a go-to technology in clinical care; therefore, it is important to work collaboratively and to shift from performance-driven outcomes to risk-sensitive model optimization, improved transparency, and better patient representation, to ensure more equitable healthcare for all.

3. Systems Radiology and Personalized Medicine.

Author

de Jong, Pim A., Foppen, Wouter, Tolboom, Nelleke, and de Jong, Pim A.

Subjects
Medicine, COVID-19, chest X-ray, deep learning, convolutional neural network, Grad-CAM, computed tomography, image analysis, osteoarthritis, reliability, FDG-PET/CT, infection, bloodstream infection, endocarditis, vascular graft infection, spondylodiscitis, cyst infection, white blood cell scintigraphy, total body PET/CT, radiotracers, artificial intelligence, contrast media, body composition, large vessel vasculitis, atherosclerosis, imaging, FDG-PET, radiological imaging, MRI, non-contrast, venography, TRANCE, QFlow, neuroblastoma, nuclear medicine, radionuclide imaging, [123I]mIBG, [124I]mIBG, [18F]mFBG, [18F]FDG, [68Ga]Ga-DOTA peptides, [18F]F-DOPA, [11C]mHED, chronic limb-threatening ischemia, peripheral arterial disease, calcification pattern, diffuse idiopathic skeletal hyperostosis, risk factors, adiposity, intra-abdominal fat, cardiorenal syndrome, imaging biomarker, tissue characterization, cerebral aneurysm, computational fluid dynamics, hemodynamic, morphological, rupture, n/a
Abstract

Summary: Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on "Systems Radiology and Personalized Medicine" includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.

4. Industrial Applications: New Solutions for the New Era.

Author

de Sales Guerra Tsuzuki, Marcos, Pessoa, Marcosiris Amorim de Oliveira, Acácio de Andrade, Alexandre, and de Sales Guerra Tsuzuki, Marcos

Subjects
Technology: general issues, History of engineering & technology, induction machines, electrical machines, vector control, SVPWM modulation, frequency inverter, artificial intelligence, photovoltaics, fault detection, machine learning, operation and maintenance, renewable energy, water-in-crude oil emulsion, water content, ultrasound, propagation velocity, exoskeletons, test bench, industry, benchmarking, microgrid model-based systems engineering, service systems, goal-oriented requirements engineering, safety instrumented system, ventricular assist device Bayesian network, Petri net, control strategy, UAV, fuzzy, PID controller, ROS, Industry 4.0, database, data models, big data and analytics, asset administration shell, MLOps, digital twin, IoT, prediction, coordinate metrology, optical scanning, noise reduction, digital manufacturing, integrated inspection system, data analytics, uncertainty, convolutional neural networks, warehouse management, image classification, ensemble learning, synthetic data, depth image, electrical maintenance, COVID-19, thermography, fever, computer vision, intelligent systems
Abstract

Summary: This book reprints articles from the Special Issue "Industrial Applications: New Solutions for the New Age" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of twelve published articles. This special edition belongs to the "Mechatronic and Intelligent Machines" section.

5. COVID-19. Impact on Public Health and Healthcare.

Author

Batra, Kavita, Sharma, Manoj, and Batra, Kavita

Subjects
Humanities, Social interaction, COVID-19, novel coronavirus, social lockdown, protection motivation theory, health behavior, health communication, pregnant woman, coronavirus, infectious disease transmission, vertical transmission, obstetric management, SARS-CoV-2, systematic review, computerized tomography, pneumonia, risk factors, echocardiography, healthcare, mental health, Impact of event scale, negative attitude, Saudi Arabian females, health services, cost, manual therapy, chiropractic, osteopathy, physiotherapy, direct RT-PCR, molecular detection, dental care, dental health services, dental visits, dental service use, postponed dental visits, check-up, dental examination, pain, dental complaints, oral health, Saudi Arabia, blood donors, seroprevalence, ELISA, antibodies, lockdown, multi-theory model, behavior change, pandemic, handwashing, young adults, college students, protective behavior changes, individual, family, environmental factor, COVID-19 spreading, online survey, awareness and knowledge, ships, seafarers, SARS-COV-2, anxiety, depression, stress, suicidal ideation, students, time-series, ARIMA, forecasting, confirmed cases, infectious disease, international cruises, health policy and regulation, control strategies, international cooperation, global health governance, ICF, healthcare services, interprofessional education, medical students, pharmacy students, telehealth, older adults, artificial intelligence, machine learning, bibliometric analysis, health, novel design, fabrication, automated dispenser, LDR based controller, reduction of COVID-19 spread, psychological symptom, college student, avoidance of infection, social distancing, free tickets for the aged, subway use demand, e-learning, youth and children health, visual health, myopia, routine care, global pandemic, role conflict, role ambiguity, social support, dental precautions, dental students, India, infection control, knowledge, perception, survey, face masks, young people, behaviors, dentist, infection control practices, concerns, dental practice, social isolation, social connectedness, loneliness, technology, internet, smartphones, m-health, severe acute respiratory syndrome, post-graduate year training, self-efficacy, emotional traits, Coronavirus, prevention, community, public health nurse, telephone consultation, vaccine literacy, Japan, family carers for older adults, sustainable ageing society, health communications, mass media, HCWs, personality traits, intolerance of uncertainty, coping strategies, perceived stress, resilience, migration, refugees, fear, modeling, data analysis, assessment, effectiveness, incidence rate, restriction, epidemic pattern, exponential growth, basic reproduction number (R0), spatio-temporal analysis, demographic risk factor, observational study, public health, Southeast Asia (SEA), vaccination rate, basic reproduction number, SARS-CoV, African American, COVID-19 vaccine, vaccine hesitancy, vaccine hesitant, text classification, SARS-CoV-2 infection, survival rate, hospitalized patients, Hidalgo Mexico, multimorbidity, vaccination, level 1 trauma, health care workers, information source trust, COVID-19 stressor, global south
Abstract

Summary: This compendium describes the impact of COVID-19 pandemic on all aspects of people lives. Data presented in this collection will be useful to understand the disruption in healthcare, learning, and socio-economic aspects amidst the pandemic. The sooner we begin to understand the impact, the better placed we will be to address the unmet needs of vulnerable population groups.

6. The Digital Health in the Pandemic Era.

Author

Giansanti, Daniele and Giansanti, Daniele

Subjects
Medicine, Mental health services, n/a, digital contact tracing, IMMUNI app, COVID-19, students, digital care visit, online consultation, medical staff, healthcare personnel, user experience, magnetic resonance imaging (MRI), brain tumor, machine learning, digital health, e-health, pandemic, physical activity, performance evaluation, eHealth, self-care, chronic diseases, mental health, mindfulness, mobile health, social isolation, mental stress, feature selection, artificial intelligence, human health, lock down, normative activation model, COVID-19 prevention, prevention intention, IoT, obesity, classification, regression, real-time system, COVID-19 pandemic, contact tracing, CNN, chest X-ray images, hybrid learning, computer-aided diagnosis, remote psychotherapy, psychotherapy via telephone, psychotherapy via videoconferencing, tele-health, e-mental-health, psychotherapy, qualitative psychotherapy research, mixed-methods psychotherapy research, exergaming, breast neoplasms, physical function, telehealth, (d)health literacy, health literacy, health intervention, health strategy, medical data, medical imaging, data classification, image detection, YOLOv4, logistic regression, AI, deep learning, chatbot, health, health domain
Abstract

Summary: Digital health, virtual assistance, and telemedicine are terms often used interchangeably to refer to remote medical assistance, monitoring and care. Several studies and insights have developed these issues, analyzing the advantages and disadvantages and successes and failures and offering reflections on the implications and issues of these technologies in the health domain. The results of these investigations are affecting the redesign of hospital and outpatient management based on digital innovation using eHealth and mHealth. During the COVID-19 pandemic, this approach made it possible to offer assistance and continue care at home, protecting patients, preserving health workers, limiting the spread of the virus, and reducing the need for hospitalization. This reprint contains contributions dealing with the development of DH during the COVID-19 pandemic. The contributions are from various experts in different fields regarding the application of digital health, which, in some cases is also integrated with artificial intelligence, including digital contact tracing, mHealth, virtual reality, mental health, physiology, and rehabilitation.

7. Pediatric Fractures.

Author

van Bergen, Christiaan J. A. and van Bergen, Christiaan J. A.

Subjects
Medicine, 3D ultrasonography, wrist, fractures, pediatric, artificial intelligence, humerus fracture, proximal humeral fracture, children, plate fixation, ORIF, tissue entrapment, biceps, COVID-19, pediatric trauma HUB, outbreak, ER admissions, pediatric fractures, pediatric injuries, non-accidental trauma, self-defense, violence, adolescent, dexterity, biomechanics, shock index, pediatric age-adjusted shock index, trauma, pediatric trauma, mortality, forearm malunion, osteotomy, patient-specific guides, 3D, NSAIDs, ibuprofen, fracture healing, pediatrics, evidence-based recommendations, recurrent patellar dislocation, knee injury, medial patellofemoral ligament reconstruction, supracondylar humerus fracture, vascular injury, brachial artery injuries, bone fractures, osteogenesis imperfecta, clavicle, fracture, pseudarthrosis, treatment, diagnosis, e-cigarette, vaping, adolescent health, pediatric orthopedics, surgery, orthopedics, supracondylar humerus, night, reduction, after-hours, brittle bone disease, rehabilitation, collagen, injury prevention, fracture risk, global recommendations on physical activity for health, SQUASH questionnaire, multi-center, adolescents, pediatric orbital fracture, orbital trapdoor fracture, n/a, titanium elastic nails, tibial fracture, elastic stable intramedullary nailing (ESIN), physeal, physis, long-bone fractures in children, pediatric facial fractures, etiology, epidemiology, Romania, fat pad sign (FPS), elbow, survey, receiver operating characteristic (ROC), intraclass correlation coefficients (ICC), anterior fat pad sign (AFPS), posterior fat pad sign (PFPS), apophysial avulsion, rectus femoris tendon, sport, pediatric radial neck fracture, radial neck angulation, elbow motion
Abstract

Summary: This reprint contains original research and review chapters concerning the latest advancements in various topics related to pediatric fractures. Topics include fractures of the face, clavicle, shoulder, elbow, forearm, wrist, pelvis, femur, and tibia; special considerations focus on osteogenesis imperfecta patients; and consideration is also given to general pediatric fracture topics, such as the influence of the COVID-19 pandemic, mortality after pediatric trauma, the effects of NSAID and electronic cigarette use, and chapters on epidemiology and physical activity.

8. Recent Advances in Minimally Invasive Surgery.

Author

Biebl, Matthias, Alkatout, Ibrahim, and Biebl, Matthias

Subjects
Medicine, ovarian cancer, laparoscopy, minimally invasive surgery, survival, mortality, platelet-rich plasma (PRP), thin endometrium, hysteroscopy, robotic surgery, sexuality, laparoscopic hysterectomy, learning curve, quality of life, counseling, patient-doctor-relationship, body donors, surgical education, clinical anatomy, live surgery events, neuropelveology, LION procedure, genital nerves stimulation, chronic pelvic pain, esophagectomy, esophageal cancer, Ivor-Lewis procedure, health-related quality of life, cervical cancer, robotic radical hysterectomy, recurrence rate, surgery, artificial intelligence, machine learning, augmented reality, hysterectomy, NOTES, minimally invasive, systematic review, meta-analysis, pediatric surgery, fetal surgery, single-incision surgery, surgical techniques, surgical devices, open surgery, endoscopy, endoscopic surgery, cysts of the canal of Nuck, Nuck hydrocele, hydrocelectomy, TAPP, Lichtenstein, colorectal liver metastases, laparoscopic liver surgery, minimal invasive surgery, general anesthesia, anesthetics, perioperative care, laparoscopic surgery, endometrial cancer, lymphadenectomy, embryology, sentinel lymph node mapping, indocyanine green, PMMR, technical aspects, rectal cancer, mesorectal, transanal, laparoscopic, local recurrence, conversion rate, minimally invasive surgical procedures, radiotherapy, ovarian neoplasms, endometrial neoplasms, uterine cervical neoplasms, vaginal neoplasms, vulvar neoplasms, survival analysis, n/a, video feedback, video modeling, gynecology, surgical training, pelvitrainer, prolapse, pelvic floor, native tissue, pectopexy, robotic assisted surgery, pancreatic surgery, pancreaticoduodenectomy, pelvic floor repair, laparoscopic repair, vaginal repair, mesh use, VATS, pain, postoperative pain control, thoracic surgery, lung cancer, intercostal catheter, opioid, regional anaesthesia, hepatectomy, single-port laparoscopy, radiofrequency pre-coagulation, endometriosis, endometrioma surgery, ovarian reserve, anti-Müllerian hormone, spontaneous pregnancy, robotic liver resection, da Vinci, intraoperative imaging, hepatocellular cancer, real-life imaging, hepatic metastasis, COVID-19, sars-cov-2, surgical performance, 3D printing, skill assessment, snorkel mask, malabsorption, Roux-en-Y gastric bypass, one-anastomosis gastric bypass, SADI-S, biliopancreatic diversion, weight regain, hepatocellular carcinoma, cholangiocarcinoma, risk score, pelvic compartments, embryologic development, oncologic surgery, pelvic lymphonodectomy, topographic anatomy, autonomic pelvic nerves, uterine cancer, prostate cancer, diaphragmatic hernia, liver resection, hernia repair, mesh, enterothorax
Abstract

Summary: Minimally invasive surgery has become a common term in visceral as well as gynecologic surgery. It has almost evolved into its own surgical speciality over the past 20 years. Today, being firmly established in every subspeciality of visceral surgery, it is now no longer a distinct skillset, but a fixed part of the armamentarium of surgical options available. In every indication, the advantages of a minimally invasive approach include reduced intraoperative blood loss, less postoperative pain, and shorter rehabilitation times, as well as a marked reduction of overall and surgical postoperative morbidity. In the advent of modern oncologic treatment algorithms, these effects not only lower the immediate impact that an operation has on the patient, but also become important key steps in reducing the side-effects of surgery. Thus, they enable surgery to become a module in modern multi-disciplinary cancer treatment, which blends into multimodular treatment options at different times and prolongs and widens the possibilities available to cancer patients. In this quickly changing environment, the requirement to learn and refine not only open surgical but also different minimally invasive techniques on high levels deeply impact modern surgical training pathways. The use of modern elearning tools and new and praxis-based surgical training possibilities have been readily integrated into modern surgical education,which persists throughout the whole surgical career of modern gynecologic and visceral surgery specialists.

9. Assistive Technologies, Robotics, and Automated Machines in the Health Domain.

Author

Giansanti, Daniele and Giansanti, Daniele

Subjects
Medical equipment & techniques, n/a, rehabilitation, virtual reality, upper extremity, virtual rehabilitation, Facebook advertisements, personalized advertisements, social media, precision medicine, public health informatics, public health communications, consumer health informatics, population health, human immunodeficiency virus, diagnosis, acquired immunodeficiency syndrome, regulation, artificial intelligence, digital radiology, medical devices, child patient, care robot, caregiver, hospitalization, testing, motor coordination, screening tool, robotic exoskeletons, servo motor, brushless, brushed, actuators, torque, centre mass, clinical decision, U-Net, CNN, CAD system, brain tumor, classification, segmentation, humanoid social robot, older adults, living alone, loneliness, social isolation, home-based, spinal cord injuries, assistive technology, tongue barbell piercing, tongue drive system, inductive tongue control system, rehabilitation robot, assistive technology sports rehabilitation, continuation therapy, degenerative diseases, elder, telemedicine, expectation confirmation theory, trust typology theory, personal privacy concerns, urination and defecation care, automation, multi-sensor fusion detection algorithm, stroke, gait robot, goal setting, Remote Monitoring Digital Solutions (RMDSs), elderly patient, mental and emotional decline, COVID-19, exoskeleton device, gait, robot, personal satisfaction, physical fitness, orthodontics, AI, ChatGPT, AI Treatment Assessment, Teledentistry Cephalometrics
Abstract

Summary: The field of healthcare is constantly evolving and advancing with new technologies and innovations. Among these, assistive technologies, robotics, and automated machines are rapidly gaining ground as powerful tools to improve the quality of care and enhance patient outcomes. From wearable devices that monitor vital signs to surgical robots that assist in complex procedures, these technologies have the potential to revolutionize the way we deliver healthcare. The development and the integration of assistive technologies, care robots, and automated machines are strategic both as single components, when paired together, and when interconnected in the health domain.This reprint explores the latest developments in assistive technologies, robotics, and automated machines in the health domain, providing a comprehensive overview of their applications and potential impact. The reprint is for the benefit of healthcare professionals, researchers, engineers, and students interested in these rapidly evolving fields.

10. Water Quality Assessments for Urban Water Environment.

Author

Kumar, Pankaj and Kumar, Pankaj

Subjects
Research & information: general, Environmental economics, groundwater, geospatial analysis, hydrogeochemical assessment, multivariate statistical analysis, water quality index, middle and lower reaches of the Yangtze River, urban river stretches, phosphorus, spatial distribution, bioavailability, suspended sediment (SS), water quality, WEAP, climate change adaptation, urbanization, domestic wastewater management, sustainable development goals, triple-rice cropping system, full-dike, surface water quality, WAWQI, An Giang Province, the Vietnamese Mekong Delta, hydrological residence time (HRT), lake, COVID, waterbodies, WQI, HPI, HEI, SARS-CoV-2, COVID-19, bioaerosol, aerosolized wastewater, environmental transmission, agriculture, water security, water scarcity, climate change, IWRM, socioeconomic changes, sustainable development, Pindrawan tank area, drinking water quality, artificial intelligence, particle swarm optimization, support vector machine, naive Bayes classifier, water insecurity, water security framework, public health, primary health care, groundwater demand, Sundarbans, vulnerability, sensitivity loop, water-human wellbeing nexus, n/a
Abstract

Summary: This special issue entitled "Water Quality Assessments for Urban Water Environment," strives to highlights the status quo of water environment, opportunities and challenges for their sustainable management in lieu of rapid global changes (land us eland cover changes, climate change, population growth, change in socio-economic dimension, urbanization etc.), in the urban space particularly in developing nations around the world. It also highlights the effect of COVID19 pandemic on water resources and way forward to minimize the risk of spreading health risk associated with wastewater management. Considering the complex nature of the urban water security, it highlights the importance of emerging approaches like socio-hydrology, landscape ecology, regional-circular-ecological sphere etc., which presents a perfect combination of hard (infrastructure) and soft (numerical simulations, spatial technologies, participatory approaches, indigenous knowledge) measures, as the potential solutions to manage this precious water resource in coming future. Finally, what is the way forward to enhance science-policy interface in a better way to achieve global goals e.g., SDGs at local level in a timely manner. It provides valuable information about sustainable water resource management at the urban landscape, which is very much useful for policy-makers, decision-makers, local communities, and other relevant stakeholders.

11. Intelligent Sensors for Human Motion Analysis.

Author

Krzeszowski, Tomasz, Świtoński, Adam, Kepski, Michal, Calafate, Carlos Tavares, and Krzeszowski, Tomasz

Subjects
Technology: general issues, History of engineering & technology, gait recognition, biometrics, regularized discriminant analysis, particle swarm optimization, grey wolf optimization, whale optimization algorithm, FMCW, vital sign, XGBoost, MFCC, COVID-19, 3D human pose estimation, deep learning, generalization, optical sensing principle, modular sensing unit, plantar pressure measurement, gait parameters, 3D human mesh reconstruction, deep neural network, motion capture, neural networks, reconstruction, gap filling, FFNN, LSTM, BILSTM, GRU, pose estimation, movement tracking, computer vision, artificial intelligence, markerless motion capture, assessment, kinematics, development, machine learning, human action recognition, features fusion, features selection, recognition, fall risk detection, balance, Berg Balance Scale, human tracking, elderly, telemedicine, diagnosis, precedence indicator, knowledge measure, fuzzy inference, rule induction, posture detection, aggregation function, markerless, human motion analysis, gait analysis, data augmentation, skeletal data, time series classification, EMG, pattern recognition, robot, cyber-physical systems, RGB-D sensors, human motion modelling, F-Formation, Kinect v2, Azure Kinect, Zed 2i, socially occupied space, facial expression recognition, facial landmarks, action units, convolutional neural networks, graph convolutional networks, artifact classification, artifact detection, anomaly detection, 3D multi-person pose estimation, absolute poses, camera-centric coordinates, deep-learning, n/a
Abstract

Summary: The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.

12. Updates in Management of SARS-CoV-2 Infection.

Author

Flisiak, Robert and Flisiak, Robert

Subjects
Medicine, COVID-19, SARS-CoV-2, interleukin-6, tocilizumab, therapy, coronavirus disease 2019, cytokines, severity, prognosis, mortality, kidney failure, rapid diagnostic test, antigen detection, Cytomegalovirus, co-infections, critical care, liver markers, inflammation, morbidity, personalized medicine, liver functional tests, COVID-19 pneumonia, meta-analysis, trial sequential analysis, children, clinical presentation, coronavirus disease 2019 (COVID-19), epidemiology, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), clinical outcome, symptomatology, pandemic, angiotensin 1 receptor (AT1R), AT1R concentration, angiotensin II, symptoms' severity, diagnosis, artificial intelligence, medical imaging, systematic umbrella review, methodological credibility, PCR test, COVID-19 diagnosis, Charlson Comorbidities Index, cluster analysis, longitudinal cluster, individualized management, n/a
Abstract

Summary: Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) has spread worldwide from the beginning of 2020. The infection is mostly asymptomatic but some patients may develop COVID‑19 (coronavirus disease 2019) with a severe or critical course leading to pneumonia, acute respiratory distress syndrome, and multiorgan failure. Apart from the virus‑related damage of the lungs, pathomechanism of the disease seems to be linked to thromboembolism and inflammation accompanied by overproduction of proinflammatory cytokines, termed a cytokine storm, responsible for multiorgan damage and death. Since the development of a new therapeutic molecule, dedicated strictly to a particular virus is time‑consuming, physicians and scientists have started to test and repurpose old medications. Unfortunately, after one year of pandemics, there is still a lack of optimal therapy and no clear indicators of recovery. A major issue is also insufficient knowledge on predictors of the severe or deadly course of the disease, which could also help to switch from one therapeutic option to another. Due to many gaps still existing in the management of COVID-19, there is a need for the accumulation of new data particularly from real-world experience, which could be applicable to practice guidelines. The objective of this special issue of the Journal of Clinical Medicine is to provide an update on the mangement for the diagnostic workup and pharmacotherapy of SARS‑CoV‑2 infection.

13. Data Science in Healthcare.

Author

Hulsen, Tim and Hulsen, Tim

Subjects
Medicine, Pharmacology, data sharing, data management, data science, big data, healthcare, depression, psychological treatment, task sharing, primary care, pilot study, non-specialist health worker, training, digital technology, mental health, COVID-19, SARS-CoV-2, pneumonia, computed tomography, case fatality rate, social distancing, smoking, metabolically healthy obese phenotype, metabolic syndrome, obesity, coronavirus, machine learning, social media, apache spark, Twitter, Arabic language, distributed computing, smart cities, smart healthcare, smart governance, Triple Bottom Line (TBL), thoracic pain, tree classification, cross-validation, hand-foot-and-mouth disease, early-warning model, neural network, genetic algorithm, sentinel surveillance system, outbreak prediction, artificial intelligence, vascular access surveillance, arteriovenous fistula, end stage kidney disease, dialysis, kidney failure, chronic kidney disease (CKD), end-stage kidney disease (ESKD), kidney replacement therapy (KRT), risk prediction, naïve Bayes classifiers, precision medicine, machine learning models, data exploratory techniques, breast cancer diagnosis, tumors classification, n/a
Abstract

Summary: Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management.

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