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The investigation describes an inventive use of digital twin technology and LSTM-based machine learning models for real-time patient lung disease monitoring and nutrition planning. The suggested application uses various patient healthcare data, treatment processes, dietary habits, and real-time sensor information to construct digital twins, which are virtual reproductions of specific patients. The LSTM model is trained on this large dataset to predict patient health improvements and dietary needs. For each patient's digital twin, the program provides personalized treatment plans and nutritional advice, enabling proactive interventions and optimizing patient care. Using performance measures, the trained LSTM model achieves high scores for accuracy (92%), precision (89%), recall (93%), and F1 score (91%), proving its usefulness in generating credible health predictions. Patient feedback on the program shows that patients (98.8%) agree on the accuracy and importance of health feedback, as well as the convenience of access to health information (95.4%). The application's response rate study reveals an average response rate of 85.87%, assuring prompt feedback. To secure patient information, the study emphasizes data privacy and security, adopting multilayered authentication and data encryption. The outcomes of this study demonstrate the application's potential to revolutionize patient-centered healthcare by providing data-driven, personalized solutions to patients and healthcare professionals. [ABSTRACT FROM AUTHOR]

IntroductionThe maintenance of health is a central objective of public health initiatives. Within the salutogenic paradigm, health promotion is focused on understanding the mechanisms of health development. Models serve as indispensable tools. One of the leading paradigms in the health sciences is the Salutogenic Model developed by Aaron Antonovsky. However, it lacks sufficient specification to reflect the complexity of the environmental dimensions that have emerged from research in environmental health science. The interactions and impact pathways between these dimensions on health status are not adequately distinguished. The objective of this study is to address this gap by extending Antonovsky’s model to encompass environmental dimensions, that is, the interactions between humans and their environment. Furthermore, the study will integrate examples of models and theories from various disciplines to illustrate how a more comprehensive and holistic explanation of health development can be provided from an interdisciplinary environmental public health perspective.MethodologyAs part of a three-step approach, a Basic Model was first developed that integrates the five environmental dimensions—Natural, Built-Material, Socio-Cultural, Psycho-Social, and Individual—into the Salutogenic Model. Subsequently, narrative non-exhaustive literature research was used to identify interdisciplinary example models. The models were used to identify gaps in the Basic Model through a critical lens and to synthesize them into a more holistic model.ResultsThe synthesis of fifteen interdisciplinary models resulted in the development of an integrative Salutogenic Environmental Health Model (SEHM), which comprises twelve principal components of health development and their interactions and pathways. Links to the original models permit the user to refer back to them.DiscussionThis integrative approach offers a comprehensive understanding of the development of health by synthesizing disparate explanatory models and theories from various disciplines through theoretical analysis. The various environmental dimensions and the determinants of health contained therein, as well as their mental and physical processing and the associated components of health development and their interactions, are summarized in this new model. The SEHM thus enables a differentiated analysis of health determinants and serves as an operational framework for health promotion and pathways to well-being in contemporary research contexts.

Background: AIDS is one of the perilous infectious diseases and according to the WHO, the only effective way to prevent AIDS is through health education. Therefore, high-risk and vulnerable groups, including adolescents, should be prioritized in educational programs. Objectives: This systematic review study aims to investigate the effects of model-based educational interventions on promoting AIDS preventive behaviors in Iranian adolescents. Methods: International databases, including Scopus, PubMed/MEDLINE, Web of Science, ISC, and Google Scholar, along with national databases, including Magiran, SID, IranDoc, and IRCT were consulted for eligible articles. The following keywords were selected based on MeSH and combined with Boolean (AND, OR) operators: “Adolescent, ” “Health model, ” “Education, ” “HIV, ” “Iran, ” and “Knowledge.” A total of 2969 articles published from April 1, 2005, to May 1, 2020, were extracted. Subsequently, two researchers reviewed the articles independently for screening and selection. The main inclusion criteria were Persian and English studies and model-based educational interventions. Data extraction was performed by two researchers via a researcher-made form independently according to the inclusion criteria. Results: Of the 12 final articles with a total sample size of 2013 adolescents, 8 articles were from the national databases and 4 from the international databases. Based on the results, although the health belief model is the most prevalent framework in designing educational interventions related to AIDS-preventive behaviors, it does not seem appropriate for changing long-term behaviors. It was also indicated that educational interventions based on the social cognitive theory did not have much effect on their attitudes, despite increasing adolescents’ awareness. Educational interventions based on the theory of planned behavior also improved attitudes and significantly increased rejection skills while delaying risky AIDS-related suggestions in students. Conclusions: Different types of health belief model, theory of planned behavior, and the social cognitive theory educational interventions can be effective in increasing the knowledge of adolescents and promoting their HIV-related preventive attitudes and cognitive perceptions. Given their effectiveness, the design and implementation of such interventions are recommended in schools.

The US National Human Genome Research Institute defines precision medicine as follows: “Precision medicine (generally considered analogous to personalized medicine or individualized medicine) is an innovative approach that uses information about an individual's genomic, environmental, and lifestyle information to guide decisions related to their medical management. The goal of precision medicine is to provide a more precise approach for the prevention, diagnosis, and treatment of disease.” In this perspective article, we question this definition of precision medicine and the risks linked to its current practice and development. We highlight that in practice, precision medicine is based on the use of large volumes of biological data for individual purposes mostly in line with the biomedical model of health, which carries the risk of the biological reductionism of the person. A more comprehensive, precise, and even “personal” approach to health would require taking into account environmental, socio-economic, psychological, and biological determinants, an approach more in line with the biopsychosocial model of health. The role of environmental exposures, in a broad sense, is highlighted more and more, notably in the field of exposome research. Not considering the conceptual framework in which precision medicine is deployed leads to the concealment of the different responsibilities that can be mobilized within the health system. Anchoring precision medicine in a model that does not limit its definition to its biological and technical components makes it possible to envisage a personalized and more precise medicine, integrating a greater share of interventions centered on the skills and life contexts of individuals.

Copyright of Cuestiones Políticas is the property of Revista Cuestiones Politicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: The maintenance of health is a central objective of public health initiatives. Within the salutogenic paradigm, health promotion is focused on understanding the mechanisms of health development. Models serve as indispensable tools. One of the leading paradigms in the health sciences is the Salutogenic Model developed by Aaron Antonovsky. However, it lacks sufficient specification to reflect the complexity of the environmental dimensions that have emerged from research in environmental health science. The interactions and impact pathways between these dimensions on health status are not adequately distinguished. The objective of this study is to address this gap by extending Antonovsky's model to encompass environmental dimensions, that is, the interactions between humans and their environment. Furthermore, the study will integrate examples of models and theories from various disciplines to illustrate how a more comprehensive and holistic explanation of health development can be provided from an interdisciplinary environmental public health perspective., Methodology: As part of a three-step approach, a Basic Model was first developed that integrates the five environmental dimensions-Natural, Built-Material, Socio-Cultural, Psycho-Social, and Individual-into the Salutogenic Model. Subsequently, narrative non-exhaustive literature research was used to identify interdisciplinary example models. The models were used to identify gaps in the Basic Model through a critical lens and to synthesize them into a more holistic model., Results: The synthesis of fifteen interdisciplinary models resulted in the development of an integrative Salutogenic Environmental Health Model (SEHM), which comprises twelve principal components of health development and their interactions and pathways. Links to the original models permit the user to refer back to them., Discussion: This integrative approach offers a comprehensive understanding of the development of health by synthesizing disparate explanatory models and theories from various disciplines through theoretical analysis. The various environmental dimensions and the determinants of health contained therein, as well as their mental and physical processing and the associated components of health development and their interactions, are summarized in this new model. The SEHM thus enables a differentiated analysis of health determinants and serves as an operational framework for health promotion and pathways to well-being in contemporary research contexts., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pleyer, Pesliak and McCall.)

In modern society, the number of chronic patients is increasing due to various causes, such as drinking, smoking, unhealthy lifestyles, and stress. Chronic diseases must be managed with constant care, but may get worse from various factors. With the development of information technology, healthcare technologies using health big data, machine learning, and reinforcement learning are attracting attention. Using these technologies, it is possible to predict potential diseases that may occur in the future by using data learning and clustering of similar data. To predict the potential for disease, we should research various models based on the convolutional neural network (CNN), which can identify knowledge objects from unstructured data such as medical data. However, the fully connected network structure of the CNN generally uses a large amount of memory. Another problem is that complexity increases with the number of layers. This causes the overfitting problem, which increases error. To solve this problem, this paper proposes a CNN-based health model using knowledge mining of influencing factors. The proposed method uses hidden layers of a double-layer structure within the CNN structure. The double-layer structure has the optimal conditions for classification, compared with a single layer that allows the AND/OR operations. First, the amount of data used is reduced by extracting influencing factors through multivariate analysis, and these influencing factors are used as input data. Significant influencing factors are extracted from the first hidden layer using the significance level. This improves accuracy, because it extracts data required for analysis. Common influencing factors appropriate for significance levels are extracted. Common influencing factors refer to correlated factors that can affect each other. In the second hidden layer, the correlations between influencing factors are discovered through a correlation coefficient, and they are classified into positive and negative factors. Furthermore, associated rules are discovered through knowledge mining from among the classified influencing factors. They are subdivided into influencing factors like obesity, high blood pressure, and diabetes through the rules of the discovered influencing factors. For performance evaluation, the root mean square error (RMSE) of the CNN model is evaluated according to the application of knowledge mining to the influencing factors. The evaluation of accuracy, computational load, complexity, and learning rate showed better results, compared with the existing method. Through the proposed health model, knowledge about the associations of various factors is derived. [ABSTRACT FROM AUTHOR]

The high rate of urbanisation has increased the need for state-of-art health models that can meet the growing needs of society during any pandemic. Information-theoretic algorithms based on decision tree can mine the data to establish standards for the final decision by classifying the related data. Classification is an effective tool to analyse the existing health system in India’s states and union territories. For this purpose, the data is categorised and then treated with the enhanced Shannon Entropy-based C4.5 decision tree algorithm to set some rules. These rules are capable of finding the major gaps in the health care systems after the analysis. Supposedly, these gaps are taken care of properly in the affected regions. In that case, the health care models will accomplish the endeavouring Sustainable Development Goals. [ABSTRACT FROM AUTHOR]

Introduction: This metaethnography provides an interpretative synthesis of complementary medicine (CM) practitioners' perceptions toward their health model and the healing process. CM is commonly described on the basis of its distinction from biomedicine with limited research available on CM practitioners' understanding of what the essence of their practice is and how healing transpires as a result. This is despite the significant patronage of CM and high rates of couse with biomedical services. Materials and Methods: An extensive and systematic search of the literature was conducted across seven databases (AMED, SINAHL, Medline, PsycINFO, PUBMED, Science Direct, and Scopus) with no date, language, or region restrictions applied. The basis for the search was MeSH terms and keywords relating to (1) CM practitioners, (2) perceptions, and (3) healing. A screening process was conducted and articles were identified for inclusion based on their addressing the research question. These articles were then quality appraised. A seven-stage metaethnographic framework was utilized to assist with identifying and interpreting the themes within the data. Results: Following the screening process, merely 10 qualitative studies were identified, which represented practitioner views across 22 CM professions. CM practitioners believe they provide a distinct model of care informed by a traditional shared holistic and vitalistic philosophy. Nonspecific factors, such as an augmented therapeutic relationship, empathy, and patient empowerment, are actively and deliberately incorporated into the treatment process alongside specific interventions and afforded equal valued. Conclusions: This metaethnographic synthesis brings together the perceptions of CM practitioners on how healing transpires within the CM clinical setting. In a context of medical pluralism and aspirational integrative health care, this synthesis highlights the understanding and approach CM practitioners bring to health management and may assist in further defining CM philosophy and practice, and the positioning of CM in the contemporary health care landscape. [ABSTRACT FROM AUTHOR]

Objective (s): There is a relationship between health and religion and spirituality. Thus in designing a health model for Iranian women (Farmehr) this relationship was considered. The Farmehr model is a comprehensive conceptual model aiming to represent all factors affecting Iranian womenchr('39')s health and their interactions. This paper deals with stating religion and spiritual factors and their position in the Farmehr model. Methods: This was a qualitative study. In all 23 experts were interviewed. Content analysis was performed to explore the data. The data further were examined and modified through deep interviews and focused group discussions with experts and policy makers. Results: The findings revealed that the relationship exist between health and "attitudes and believes", "values", "morality", and “religious and spiritual capital and resources in society”. Also it was found that they affect the health of whole society and thus were considered as the fundamental axis in the Farmehr model. Other factors that affected by the religion and spirituality were religious and spiritual behaviors and family background that were recognized respectively in the layer of life style and family relationships in individual level of the model. The spiritual factors have been indicated in some other health models such as social determinants of health model as social, cultural, and spiritual values, forces, or assumptions. Conclusion: The Farmehr womenchr('39')s health model suggest that the set of indicated factors have a significant impact on understanding and interpretation of individuals about their own health and that of the others, their health behaviors and other behaviors that affect the health of family and society and even on thinking behind making policy and planning in public and health system.

Terror management theory (TMT) contends that the need to manage the anxiety evoked by the awareness of one's own mortality, through proximal and distal defenses, lies at the heart of any human motivation. Proximal defenses aim at dismissing death awareness. Distal defenses aim at keeping them out of frame. The terror management health model (TMHM) applies TMT to issues of health and illness. TMT and TMHM are both explored mainly through empirical positivist research and theoretical discussions. Very few publications relate to the implementation of TMT. This article suggests further applications of the TMHM in social work practice. [ABSTRACT FROM AUTHOR]

At present time mankindis entering upon a new information age, and therefore the foundations of culture health organization is considered as the perspective to distribute intellectual and information resources as ecologically sustainable development and modernizing of Russian society. Great attention in this regard is given to a higher education system, the aim of which is to prepare a specialist with fundamental knowledge, professionally important qualities, environmental culture and culture of health.Though information resources in the sphere of continuous environmental and valeological education, from the point of their socio-philosophical justification, are varied and quite extensional, these trends are just beginning to penetrate in all areas of social life (including the educational environment) and are not sufficiently reflected in continuing professional education, especially technical and, as it is know, technical education is preparing professionals of new type, adequate to changing conditions.In this regard, the ecologization аnd valeologization of continuous training acquires the greatest relevance in modernization of higher education. Also one of the urgent tasks is training of specialists, having high level of ecological and valeological consciousness development and ecological thinking; all these determine the functioning of the system «society-production-environment». According to these facts, it is possible to mention the necessity to solve the problems of environmental and valeological education in professional training of specialists, by means of global process modeling directly and indirectly related to this field.Since ecological and valeological education in higher schools must be based on regulatory support, as an important tool, used by the state in order to preserve the national health, as well as balances environmental management, it is necessary to note that at the state level the most important task is to promote the ideas of sustainable development and improvement of «environment-person» system.As in conditions of rebuilding of various aspects of life the questions of preserving and improving health of people of different ages (constituting labor potential of the society) are of special importance, special attention should be given to the production and processing of statistical information, allowing to trace trends of increase or decrease the level of health in any organization, a network of organizations within the city, region, country, etc.Purpose. The development of an ecological unit in the human health model; the development and programming of functional systems, that allow to improve diagnosis, prognosis, prevention processes and preventive health care of future specialists in higher education system.Methodology. Programming, modeling, the experiment.Results. 1) The analysis of human health models is done. 2) The environmental unit in the human health model is developed. 3) The system «Medsyst» is developed and proposed as an integrative environmental and health approach, it was successfully implemented in sanatorium «Youth» working in T.F. Gorbachev Kuzbass State Technical University. It allows on high level, quickly and effectively to monitor the health of future applicants, students, teachers and third parties, thereby analyzing the studied parameters in order to obtain an integrative health assessment, as a system component of anthropo-ecology in modernization of higher technical education.Practical implications. The research results can be used in clinics, dispensaries and other health institutions.

Copyright of Historia y Politica: Ideas, Procesos y Movimientos Sociales is the property of Departamento De Historia del Pensamiento y de los Moviemientos Sociales y Politicos (Madrid) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The US National Human Genome Research Institute defines precision medicine as follows: "Precision medicine (generally considered analogous to personalized medicine or individualized medicine) is an innovative approach that uses information about an individual's genomic, environmental, and lifestyle information to guide decisions related to their medical management. The goal of precision medicine is to provide a more precise approach for the prevention, diagnosis, and treatment of disease." In this perspective article, we question this definition of precision medicine and the risks linked to its current practice and development. We highlight that in practice, precision medicine is based on the use of large volumes of biological data for individual purposes mostly in line with the biomedical model of health, which carries the risk of the biological reductionism of the person. A more comprehensive, precise, and even "personal" approach to health would require taking into account environmental, socio-economic, psychological, and biological determinants, an approach more in line with the biopsychosocial model of health. The role of environmental exposures, in a broad sense, is highlighted more and more, notably in the field of exposome research. Not considering the conceptual framework in which precision medicine is deployed leads to the concealment of the different responsibilities that can be mobilized within the health system. Anchoring precision medicine in a model that does not limit its definition to its biological and technical components makes it possible to envisage a personalized and more precise medicine, integrating a greater share of interventions centered on the skills and life contexts of individuals., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Delpierre and Lefèvre.)

Copyright of Österreichische Zeitschrift für Soziologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present study has been designed to: (1) evaluate the adequacy of a psychosocial-appraisal health model posited to explain the decision-making process associated with the intention as well as the (non)practice of protective behaviours; and (2) test for sex differences in the hypothesized structural relations (both direct and indirect) between the model's exogenous (psychosocial) and endogenous (cognitive appraisal) factors in representing the way health decisions are made. Results obtained from path analysis (N = 1269) provided overall support for the ‘fit’ of the hypothesized health model. The implications of the findings with regard to differences in male and female health status are discussed. [ABSTRACT FROM AUTHOR]

Describes the development and use of a modified SERVQUAL research instrument for measuring the service quality of a leading Cancer Information Support Service from the perspective of their "customers". The evaluation findings were also used to inform the organisation to help it to improve its services. In order to identify the appropriate dimensions of service quality, a series of focus group meetings were run with providers of the Information Support Services and also with the users of the service. The meetings enabled the identification of six different dimensions of service quality which neatly mapped onto the new P-C-P attributes model, which was developed after extensive research of existing models such as SERVQUAL. Based on these dimensions, a questionnaire was then developed to assess service quality of the service. The main outcome from the research was the development of a research instrument suitable for measuring the service quality of a Cancer Information Support Service. This instrument can be adapted to assess the quality of any other service. [ABSTRACT FROM AUTHOR]