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Relational machine learning for electronic health record-driven phenotyping.

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第一作者： Peggy L,Peissig

第一单位： Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI, USA. Electronic address: peissig.peggy@marshfieldclinic.org.

作者： Peggy L,Peissig ^[1] ; Vitor,Santos Costa ^[2] ; Michael D,Caldwell ^[3] ; Carla,Rottscheit ^[4] ; Richard L,Berg ^[4] ; Eneida A,Mendonca ^[5] ; David,Page ^[6]

作者单位： Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI, USA. Electronic address: peissig.peggy@marshfieldclinic.org. ^[1] DCC-FCUP and CRACS INESC-TEC, Department de Ciência de Computadores, Universidade do Porto, Portugal. ^[2] Department of Surgery, Marshfield Clinic, Marshfield, WI, USA. ^[3] Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI, USA. ^[4] Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, USA; Department of Pediatrics, University of Wisconsin-Madison, USA. ^[5] Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, USA; Department of Computer Sciences, University of Wisconsin-Madison, USA. ^[6]

关键词 Electronic health record Inductive logic programming Machine learning Phenotyping Relational machine learning

医学主题词算法(Algorithms);人工智能(Artificial Intelligence);数据挖掘(Data Mining);数据库, 事实型(Databases, Factual);电子健康病历(Electronic Health Records);人类(Humans)

DOI 10.1016/j.jbi.2014.07.007

PMID 25048351

发布时间 2024-06-10

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