{"title":"从社会视角推进计算精神病学的发展","authors":"Shawn A. Rhoads, Xiaosi Gu, Joseph M. Barnby","doi":"10.1038/s44220-024-00343-w","DOIUrl":null,"url":null,"abstract":"Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1268-1270"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing computational psychiatry through a social lens\",\"authors\":\"Shawn A. Rhoads, Xiaosi Gu, Joseph M. Barnby\",\"doi\":\"10.1038/s44220-024-00343-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.\",\"PeriodicalId\":74247,\"journal\":{\"name\":\"Nature mental health\",\"volume\":\"2 11\",\"pages\":\"1268-1270\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature mental health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44220-024-00343-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-024-00343-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advancing computational psychiatry through a social lens
Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.