| Titre : | Data science and precision health care (2020) |
| Auteurs : | Seiya Imoto ; Takanori Hasegawa ; Rui Yamaguchi |
| Type de document : | Article |
| Dans : | Nutrition reviews (Vol. 78, n° 12 Supplement 3, December 2020) |
| Article en page(s) : | p. 53–57 |
| Note générale : | doi:10.1093/nutrit/nuaa110 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Prestations des soins de santé ; Science des données |
| Mots-clés: | données médicales |
| Résumé : | Precision health care plays a crucial role in an elderly society by providing personalized health care plans for improving an individual’s health conditions and preventing disease. To realize precision health care, data science is key; it allows for analyses of health-related big data. In this article, an actual analysis of time-series health check-up data is presented and as is a discussion of how personalized simulation models of health conditions are constructed and used to modify individual behavior. Future directions for precision health care based on the integration of genetic variations and the microbiome are also discussed. |
| Disponible en ligne : | Oui/Non |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://academic.oup.com/nutritionreviews/article/78/Supplement_3/53/6012438 |
Bibliothèques HE Vinci
