{"title":"将以用户为中心的设计机器学习工具包应用于自闭症谱系障碍用例。","authors":"Joseph M Plasek, Li Zhou","doi":"10.1136/bmjhci-2023-100765","DOIUrl":null,"url":null,"abstract":"Two BMJ Health & Care Informatics editors’ choice papers present insights based on case studies from real- world data and machine learning models for clinical risk prediction use cases. Seneviratne et al focus on case management to demonstrate how one might implement their","PeriodicalId":9050,"journal":{"name":"BMJ Health & Care Informatics","volume":"30 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ea/94/bmjhci-2023-100765.PMC10174023.pdf","citationCount":"0","resultStr":"{\"title\":\"Applying a user-centred design machine learning toolkit to an autism spectrum disorder use case.\",\"authors\":\"Joseph M Plasek, Li Zhou\",\"doi\":\"10.1136/bmjhci-2023-100765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two BMJ Health & Care Informatics editors’ choice papers present insights based on case studies from real- world data and machine learning models for clinical risk prediction use cases. Seneviratne et al focus on case management to demonstrate how one might implement their\",\"PeriodicalId\":9050,\"journal\":{\"name\":\"BMJ Health & Care Informatics\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ea/94/bmjhci-2023-100765.PMC10174023.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Health & Care Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjhci-2023-100765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Health & Care Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjhci-2023-100765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Applying a user-centred design machine learning toolkit to an autism spectrum disorder use case.
Two BMJ Health & Care Informatics editors’ choice papers present insights based on case studies from real- world data and machine learning models for clinical risk prediction use cases. Seneviratne et al focus on case management to demonstrate how one might implement their
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
