Predictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data Advantages and Challenges

被引：8
作者：
Patton, Michael J. [1 ,2 ]
Liu, Vincent X. [3 ]
机构：
[1] Univ Alabama Birmingham, Heersink Sch Med, Med Scientist Training Program, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Hugh Kaul Precis Med Inst, 720 20th St South,Suite 202, Birmingham, AL 35233 USA
[3] Kaiser Permanente Div Res, Oakland, CA 94612 USA
来源：
CRITICAL CARE CLINICS | 2023年 / 39卷 / 04期
关键词：
Critical care outcome prediction; Machine learning; Sepsis prediction; Mortality prediction; Data science; Clinical informatics; Model performance evaluation; Electronic medical record analysis; INTENSIVE-CARE-UNIT; ORGAN FAILURE ASSESSMENT; C-REACTIVE PROTEIN; LENGTH-OF-STAY; CRITICALLY-ILL PATIENTS; EARLY WARNING SCORE; BLOOD-CELL COUNT; INTERNATIONAL CONSENSUS DEFINITIONS; CIRCULATING INFLAMMATORY MEDIATORS; EMERGENCY-DEPARTMENT PATIENTS;
D O I：
10.1016/j.ccc.2023.02.001
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
[No abstract available]
引用
收藏
页码：647 / 673
页数：27
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