{"title":"基于机器学习的多准则决策医疗保健系统研究","authors":"Sk Anamul Hoda, A. Mondal","doi":"10.37965/jait.2023.0167","DOIUrl":null,"url":null,"abstract":"There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today's digitally-based culture. Effective decision-support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments as well as in different healthcare management activities. Research paper presented an extensive literature survey for Healthcare systems using the machine learning that is based on Multiple criteria decision making (MCDM). Various existing studies are considered for review and a critical analysis is being done through the reviews study which can help to the researchers to explore further research area to cater the need of the field","PeriodicalId":70996,"journal":{"name":"人工智能技术学报(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Studies on Multi-Criteria Decision-Making Based Healthcare Systems Using The Machine Learning\",\"authors\":\"Sk Anamul Hoda, A. Mondal\",\"doi\":\"10.37965/jait.2023.0167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today's digitally-based culture. Effective decision-support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments as well as in different healthcare management activities. Research paper presented an extensive literature survey for Healthcare systems using the machine learning that is based on Multiple criteria decision making (MCDM). Various existing studies are considered for review and a critical analysis is being done through the reviews study which can help to the researchers to explore further research area to cater the need of the field\",\"PeriodicalId\":70996,\"journal\":{\"name\":\"人工智能技术学报(英文)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"人工智能技术学报(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.37965/jait.2023.0167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"人工智能技术学报(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.37965/jait.2023.0167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studies on Multi-Criteria Decision-Making Based Healthcare Systems Using The Machine Learning
There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today's digitally-based culture. Effective decision-support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments as well as in different healthcare management activities. Research paper presented an extensive literature survey for Healthcare systems using the machine learning that is based on Multiple criteria decision making (MCDM). Various existing studies are considered for review and a critical analysis is being done through the reviews study which can help to the researchers to explore further research area to cater the need of the field