Man vs. Machine: Comparison of a Machine Learning Algorithm to Clinician Intuition for Predicting Intensive Care Unit Readmission

被引：0
|
作者：
Rojas, J. C. [1 ]
Lyons, P. G. [2 ]
Kilaru, M. [1 ]
Carey, K. A. [1 ]
Venable, L. R. [1 ]
Picart, J. [1 ]
McCauley, L. [3 ]
Arora, V. M. [1 ]
Edelson, D. P. [1 ]
Churpek, M. M. [1 ]
机构：
[1] Univ Chicago, Chicago, IL 60637 USA
[2] Washington Univ, St Louis, MO USA
[3] Brown Univ, Providence, RI 02912 USA
来源：
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE | 2019年 / 199卷
关键词：
D O I：
暂无
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
A2459
引用
收藏
页数：2
相关论文
共 50 条
  • [1] MAN VS. MACHINE: COMPARISON OF A MACHINE LEARNING ALGORITHM TO CLINICIAN INTUITION FOR PREDICTING INTENSIVE CARE UNIT READMISSION
    Rojas, Juan C.
    Lyons, Patrick G.
    Kilaru, Megha
    Carey, Kyle A.
    Venable, Laura R.
    Picart, Jamila
    Mccauley, Leslie
    Arora, Vineet
    Edelson, Dana P.
    Churpek, Matthew M.
    [J]. JOURNAL OF INVESTIGATIVE MEDICINE, 2019, 67 (05) : 929 - 929
  • [2] Accuracy Of Clinician Intuition And Comparison To An Early Warning Score For Predicting Intensive Care Unit Readmission
    Rojas, J. C.
    Lyons, P. G.
    McCauley, L.
    Picart, J.
    Snyder, A. M.
    Kilaru, M.
    Twu, N. M.
    Edelson, D.
    Churpek, M. M.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2017, 195
  • [3] Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
    Rojas, J. C.
    Carey, K. A.
    Edelson, D. P.
    Venable, L. R.
    Howell, M. D.
    Churpek, M. M.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2018, 197
  • [4] Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
    Rojas, Juan C.
    Carey, Kyle A.
    Edelson, Dana P.
    Venable, Laura R.
    Howell, Michael D.
    Churpek, Matthew M.
    [J]. ANNALS OF THE AMERICAN THORACIC SOCIETY, 2018, 15 (07) : 846 - 853
  • [5] Predicting mortality in the intensive care unit: Man against machine
    Shapiro, NI
    Talmor, D
    [J]. CRITICAL CARE MEDICINE, 2006, 34 (03) : 932 - 933
  • [6] PREDICTING INTENSIVE CARE UNIT READMISSION AMONG PATIENTS AFTER LIVER TRANSPLANTATION USING MACHINE LEARNING
    Gong, Linmei
    Gong, Subo
    Wu, Xiaoqiang
    He, Jiezhou
    Zhong, Yanjun
    Tang, Jun
    Deng, Jiayi
    Si, Zhongzhou
    Liu, Yi
    Wang, Guyi
    Li, Jinxiu
    [J]. FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2023, 31 (06)
  • [7] Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
    Shin, Sheojung
    Austin, Peter C.
    Ross, Heather J.
    Abdel-Qadir, Husam
    Freitas, Cassandra
    Tomlinson, George
    Chicco, Davide
    Mahendiran, Meera
    Lawler, Patrick R.
    Billia, Filio
    Gramolini, Anthony
    Epelman, Slava
    Wang, Bo
    Lee, Douglas S.
    [J]. ESC HEART FAILURE, 2021, 8 (01): : 106 - 115
  • [8] Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning
    Aikodon, Nosa
    Ortega-Martorell, Sandra
    Olier, Ivan
    [J]. ALGORITHMS, 2024, 17 (01)
  • [9] PREDICTING CARDIAC ARREST IN THE PEDIATRIC INTENSIVE CARE UNIT USING MACHINE LEARNING
    Kenet, Adam
    Pemmaraju, Rahul
    Ghate, Sejal
    Raghunath, Shreeya
    Zhang, Yifan
    Yuan, Mordred
    Wei, Tony
    Desman, Jacob
    Greenstein, Joseph
    Taylor, Casey
    Ruchti, Timothy
    Fackler, Jim
    Bergmann, Jules
    [J]. CRITICAL CARE MEDICINE, 2023, 51 (01) : 30 - 30
  • [10] Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit
    Deshmukh, Farah
    Merchant, Shamel S.
    [J]. AMERICAN JOURNAL OF GASTROENTEROLOGY, 2020, 115 (10): : 1657 - 1668
12345