{"title":"A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment","authors":"Ricardo Buettner, Florian Klenk, M. Ebert","doi":"10.1109/COMPSAC48688.2020.00-15","DOIUrl":null,"url":null,"abstract":"To analyze the state of the art of machine learning-based disease profiling and personalized treatments, we review the relevant literature included in top peer-reviewed journals and evaluate the coverage according to the ICD-11 framework. We identify advantages, but also research needs and limitations within the ICD-11 disease categories to foster the adaptation of these new E-health technologies.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC48688.2020.00-15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
To analyze the state of the art of machine learning-based disease profiling and personalized treatments, we review the relevant literature included in top peer-reviewed journals and evaluate the coverage according to the ICD-11 framework. We identify advantages, but also research needs and limitations within the ICD-11 disease categories to foster the adaptation of these new E-health technologies.
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