{"title":"[利用医学档案进行研究和病人护理]。","authors":"M Peredin, S Baur","doi":"10.1007/s00120-021-01742-y","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, technology in healthcare has experienced a dynamic increase, with the collection of data being a central component. In particular, artificial intelligence (AI), such as machine learning and deep learning, makes it possible to perform comprehensive analyses of large amounts of data and to draw conclusions based on correlations and pattern recognition. This paper describes the benefits and challenges of big data in patient care.</p>","PeriodicalId":11123,"journal":{"name":"Der Urologe. Ausg. A","volume":" ","pages":"142-148"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Use of medical archives for research and patient care].\",\"authors\":\"M Peredin, S Baur\",\"doi\":\"10.1007/s00120-021-01742-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In recent years, technology in healthcare has experienced a dynamic increase, with the collection of data being a central component. In particular, artificial intelligence (AI), such as machine learning and deep learning, makes it possible to perform comprehensive analyses of large amounts of data and to draw conclusions based on correlations and pattern recognition. This paper describes the benefits and challenges of big data in patient care.</p>\",\"PeriodicalId\":11123,\"journal\":{\"name\":\"Der Urologe. Ausg. A\",\"volume\":\" \",\"pages\":\"142-148\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Der Urologe. Ausg. A\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00120-021-01742-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/12/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Der Urologe. Ausg. A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00120-021-01742-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
[Use of medical archives for research and patient care].
In recent years, technology in healthcare has experienced a dynamic increase, with the collection of data being a central component. In particular, artificial intelligence (AI), such as machine learning and deep learning, makes it possible to perform comprehensive analyses of large amounts of data and to draw conclusions based on correlations and pattern recognition. This paper describes the benefits and challenges of big data in patient care.
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