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Data science in large cohort studies / 中华流行病学杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-736736
Responsible library: WPRO
ABSTRACT
Large cohort study gained its popularity in biomedical research and demonstrated its application in exploring disease etiology and pathogenesis,improving the prognosis of disease,as well as reducing the burden of diseases.Data science is an interdisciplinary field that uses scientific methods from computer science and statistics to extract insights or knowledge from data in a specific domain.The results from the combination of the two would provide new evidence for developing the strategies and measures on disease prevention and control.This review included a brief introduction of data science,descriptions on characteristics of large cohort data according to the development of the study design,and application of data science at each stage of a large cohort study,as well as prospected the application of data science in the future large cohort studies.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Prognostic study Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2019 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Prognostic study Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2019 Document type: Article
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