Machine Learning for Prediction in Electronic Health Data

被引：56
|
作者：
Rose, Sherri [1 ]
机构：
[1] Harvard Med Sch, Dept Hlth Care Policy, 180 Longwood Ave, Boston, MA 02115 USA
来源：
JAMA NETWORK OPEN | 2018年 / 1卷 / 04期
关键词：
D O I：
10.1001/jamanetworkopen.2018.1404
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：3
相关论文
共 50 条
  • [1] Prediction of early childhood obesity with machine learning and electronic health record data
    Pang, Xueqin
    Forrest, Christopher B.
    Le-Scherban, Felice
    Masino, Aaron J.
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2021, 150
  • [2] Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data
    Zhuang, Yaxu
    Dyas, Adam
    Meguid, Robert A.
    Henderson, William G.
    Bronsert, Michael
    Madsen, Helen
    Colborn, Kathryn L.
    [J]. ANNALS OF SURGERY, 2024, 279 (04) : 720 - 726
  • [3] Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data
    Davoudi, Anis
    Ebadi, Ashkan
    Rashidi, Parisa
    Ozrazgat-Baslanti, Tazcan
    Bihorac, Azra
    Bursian, Alberto C.
    [J]. 2017 IEEE 17TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), 2017, : 568 - 573
  • [4] Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
    Nickson, David
    Meyer, Caroline
    Walasek, Lukasz
    Toro, Carla
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 23 (01)
  • [5] Postoperative delirium prediction using machine learning models and preoperative electronic health record data
    Andrew Bishara
    Catherine Chiu
    Elizabeth L. Whitlock
    Vanja C. Douglas
    Sei Lee
    Atul J. Butte
    Jacqueline M. Leung
    Anne L. Donovan
    [J]. BMC Anesthesiology, 22
  • [6] Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
    David Nickson
    Caroline Meyer
    Lukasz Walasek
    Carla Toro
    [J]. BMC Medical Informatics and Decision Making, 23
  • [7] Prediction of Atherosclerotic Cardiovascular Disease Risk Using Machine Learning and Electronic Health Record Data
    Ward, Andrew
    Sarraju, Ashish
    Chung, Sukyung
    Palaniappan, Latha
    Scheinker, David
    Rodriguez, Fatima
    [J]. CIRCULATION, 2019, 140
  • [8] Postoperative delirium prediction using machine learning models and preoperative electronic health record data
    Bishara, Andrew
    Chiu, Catherine
    Whitlock, Elizabeth L.
    Douglas, Vanja C.
    Lee, Sei
    Butte, Atul J.
    Leung, Jacqueline M.
    Donovan, Anne L.
    [J]. BMC ANESTHESIOLOGY, 2022, 22 (01)
  • [9] Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends
    Lu, Haohui
    Uddin, Shahadat
    [J]. HEALTHCARE, 2023, 11 (07)
  • [10] Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data
    Mandair, Divneet
    Tiwari, Premanand
    Simon, Steven
    Colborn, Kathryn L.
    Rosenberg, Michael A.
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
12345