Redesigning COVID-19 Care With Network Medicine and Machine Learning
| Autor: | Paul Cerrato, Adam Perlman, John Halamka |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Network medicine
lcsh:R5-920 business.industry media_common.quotation_subject Stressor Disease 030204 cardiovascular system & hematology medicine.disease Machine learning computer.software_genre Obesity 03 medical and health sciences Malnutrition 0302 clinical medicine medicine 030212 general & internal medicine Psychological resilience Artificial intelligence business lcsh:Medicine (General) computer Psychosocial media_common Sedentary lifestyle |
| Zdroj: | Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 4, Iss 6, Pp 725-732 (2020) Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| ISSN: | 2542-4548 |
| Popis: | Emerging evidence regarding COVID-19 highlights the role of individual resistance and immune function in both susceptibility to infection and severity of disease. Multiple factors influence the response of the human host on exposure to viral pathogens. Influencing an individual's susceptibility to infection are such factors as nutritional status, physical and psychosocial stressors, obesity, protein-calorie malnutrition, emotional resilience, single-nucleotide polymorphisms, environmental toxins including air pollution and firsthand and secondhand tobacco smoke, sleep habits, sedentary lifestyle, drug-induced nutritional deficiencies and drug-induced immunomodulatory effects, and availability of nutrient-dense food and empty calories. This review examines the network of interacting cofactors that influence the host-pathogen relationship, which in turn determines one's susceptibility to viral infections like COVID-19. It then evaluates the role of machine learning, including predictive analytics and random forest modeling, to help clinicians assess patients' risk for development of active infection and to devise a comprehensive approach to prevention and treatment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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