237 results on '"Mortazavi, Bobak J."'
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52. Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers
53. Automated severe aortic stenosis detection on single-view echocardiography: A multi-center deep learning study
54. Timing of blood draws among hospitalized patients: An evaluation of the electronic health records from a large health care system
55. Classification of blood pressure during sleep impacts designation of nocturnal nondipping.
56. Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images
57. SOFA score performs worse than age for predicting mortality in patients with COVID-19
58. Abstract 242: Assessing Variation In Data Captured By Clinical Registries And The Electronic Health Record: Clinical Phenotypes Of Patients Undergoing Cardiac Catheterization
59. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
60. Effect of removing race correction factor in glomerular filtration rate estimation on predicting acute kidney injury after percutaneous coronary intervention
61. Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals
62. A dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention
63. Towards Dynamic Risk Prediction of Outcomes After CABG: Improving Risk Prediction with Intraoperative Events Using Gradient Boosting
64. Assessing Performance of Machine Learning—Reply
65. Automated Multilabel Diagnosis on Electrocardiographic Images and Signals
66. A Review of Digital Innovations for Diet Monitoring and Precision Nutrition
67. Postprandial concentration of circulating branched chain amino acids are able to predict the carbohydrate content of the ingested mixed meal
68. Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts
69. A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals
70. DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records
71. Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data
72. Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
73. Towards The Development of Subject-Independent Inverse Metabolic Models
74. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction
75. Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft: Improving Risk Prediction With Intraoperative Events Using Gradient Boosting
76. Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection
77. Accuracy of Computable Phenotyping Approaches for SARS-CoV-2 Infection and COVID-19 Hospitalizations from the Electronic Health Record
78. Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock
79. A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders
80. Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments
81. Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
82. The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review (Preprint)
83. Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump for Cardiogenic Shock—Reply
84. Clinical Characteristics and Outcomes for 7,995 Patients with SARS-CoV-2 Infection
85. Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management
86. Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock
87. Protocol for Project Recovery: Cardiac Surgery - Leveraging Digital Platform for Efficient Collection of Longitudinal Patient-Reported Outcome Data Towards Improving Postoperative Recovery
88. Temporal Relationship of Computed and Structured Diagnoses in Electronic Health Record Data
89. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
90. Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning.
91. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention
92. Sparse Embedding for Interpretable Hospital Admission Prediction
93. Predicting the meal macronutrient composition from continuous glucose monitors
94. Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers
95. A human-centered wearable sensing platform with intelligent automated data annotation capabilities
96. Machine-learning to Improve Prediction of Mortality following Acute Myocardial Infarction: An Assessment in the NCDR-Chest Pain-Myocardial Infarction Registry
97. A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly
98. Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals
99. Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms
100. Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures
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