数据科学
大数据
领域(数学)
精神科
心理学
医学
计算机科学
数据挖掘
数学
纯数学
作者
Wei Zhang,Gabriel R. Fries,João Quevedo
出处
期刊:Oxford University Press eBooks
[Oxford University Press]
日期:2021-01-01
卷期号:: 255-268
标识
DOI:10.1093/med/9780197506271.003.0017
摘要
Mental and behavioral disorders are becoming the leading cause of disability across the world. Along with the ongoing development of biomedical and computational technologies, more and more data are being constantly produced, including genomic, transcriptomic, metabolomic, proteomic, clinical, and imaging resources. As a consequence, scientists in the psychiatric field are actively changing their research ways from studies focused on individual investigators to large international consortia, which accelerate the data accumulation and increase its size. This chapter discusses the current publicly available data sets on psychiatry disorders and neuroscience, as well as their integrated analysis. The authors also list some studies using novel types of data, which will further extent the potential of big data in the study of psychiatric disorders.
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