Machine Learning of Physiologic Waveforms and Electronic Health Record Data A Large Perioperative Data Set of High-Fidelity Physiologic Waveforms

被引：1
作者：
Kim, Sungsoo [1 ,2 ]
Kwon, Sohee [1 ]
Rudas, Akos [3 ]
Pal, Ravi [1 ]
Markey, Mia K. [4 ]
Bovik, Alan C. [2 ]
Cannesson, Maxime [1 ,5 ]
机构：
[1] Univ Calif Los Angeles, Dept Anesthesiol & Perioperat Med, Los Angeles, CA 90095 USA
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX USA
[3] Univ Calif Los Angeles, Dept Computat Med, Los Angeles, CA 90095 USA
[4] Univ Texas Austin, Dept Biomed Engn, Austin, TX USA
[5] UCLA, David Geffen Sch Med, Dept Anesthesiol & Perioperat Med, 757 Westwood Plaza, Los Angeles, CA 90095 USA
来源：
CRITICAL CARE CLINICS | 2023年 / 39卷 / 04期
关键词：
Machine learning; Physiologic waveforms; Deep neuronal networks; Perioperative medicine; Surgery; Prediction; MEAN ARTERIAL-PRESSURE; NONCARDIAC SURGERY; GLOBAL VOLUME; HYPOTENSION; MORTALITY;
D O I：
10.1016/j.ccc.2023.03.003
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：675 / 687
页数：13
相关论文
共 33 条
  • [1] Associations of Intraoperative Radial Arterial Systolic, Diastolic, Mean, and Pulse Pressures with Myocardial and Acute Kidney Injury after Noncardiac Surgery A Retrospective Cohort Analysis
    Ahuja, Sanchit
    Mascha, Edward J.
    Yang, Dongsheng
    Maheshwari, Kamal
    Cohen, Barak
    Khanna, Ashish K.
    Ruetzler, Kurt
    Turan, Alparslan
    Sessler, Daniel, I
    [J]. ANESTHESIOLOGY, 2020, 132 (02) : 291 - 306
  • [2] Barash P. G., 2009, Clinical anesthesia
  • [3] Butterworth J., 2018, Morgan mikhail's clinical anesthesiology, V6th
  • [4] Unintended Consequences of Machine Learning in Medicine
    Cabitza, Federico
    Rasoini, Raffaele
    Gensini, Gian Franco
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (06): : 517 - 518
  • [5] Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study
    Cannesson, Maxime
    Hofer, Ira
    Rinehart, Joseph
    Lee, Christine
    Subramaniam, Kathirvel
    Baldi, Pierre
    Dubrawski, Artur
    Pinsky, Michael R.
    [J]. BMJ OPEN, 2019, 9 (12):
  • [6] Committee on Standards and Practice Parameters (CSPP), 2020, Standards for basic Anesthetic monitoring
  • [7] Ability of an Arterial Waveform Analysis-Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients
    Davies, Simon James
    Vistisen, Simon Tilma
    Jian, Zhongping
    Hatib, Feras
    Scheeren, Thomas W. L.
    [J]. ANESTHESIA AND ANALGESIA, 2020, 130 (02) : 352 - 359
  • [8] Gers FA, 1999, IEE CONF PUBL, P850, DOI [10.1162/089976600300015015, 10.1049/cp:19991218]
  • [9] Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
    Gianfrancesco, Milena A.
    Tamang, Suzanne
    Yazdany, Jinoos
    Schmajuk, Gabriela
    [J]. JAMA INTERNAL MEDICINE, 2018, 178 (11) : 1544 - 1547
  • [10] Goodfellow I, 2016, ADAPT COMPUT MACH LE, P1
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