Predicting Patient Mortality: Using Machine Learning to Identify At-Risk Patients and Improve Outcomes

被引:0
|
作者
Barton, C.
Mohamadlou, H.
Lynn-Palevsky, A.
Fletcher, G.
Shieh, L.
Stark, P.
Chettipally, U.
Shimabukuro, D. W.
Feldman, M.
Das, R.
机构
基金
美国国家卫生研究院;
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
A4299
引用
收藏
页数:2
相关论文
共 50 条
  • [31] USING PARAMEDICS TO IDENTIFY AT-RISK ELDERLY
    GERSON, LW
    SCHELBLE, DT
    WILSON, JE
    ANNALS OF EMERGENCY MEDICINE, 1992, 21 (06) : 688 - 691
  • [32] Predicting mortality in patients with nonvariceal upper gastrointestinal bleeding using machine-learning
    Ungureanu, Bogdan Silviu
    Gheonea, Dan Ionut
    Florescu, Dan Nicolae
    Iordache, Sevastita
    Cazacu, Sergiu Marian
    Iovanescu, Vlad Florin
    Rogoveanu, Ion
    Turcu-Stiolica, Adina
    FRONTIERS IN MEDICINE, 2023, 10
  • [33] Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques
    Penso, Marco
    Pepi, Mauro
    Fusini, Laura
    Muratori, Manuela
    Cefalu, Claudia
    Mantegazza, Valentina
    Gripari, Paola
    Ali, Sarah Ghulam
    Fabbiocchi, Franco
    Bartorelli, Antonio L.
    Caiani, Enrico G.
    Tamborini, Gloria
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2021, 8 (04)
  • [34] Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
    Jiancheng Ye
    Liang Yao
    Jiahong Shen
    Rethavathi Janarthanam
    Yuan Luo
    BMC Medical Informatics and Decision Making, 20
  • [35] Predicting Patient Hospital Charges Using Machine Learning
    Shukla D.
    Chandrakar P.
    Radioelectronics and Communications Systems, 2022, 65 (12) : 665 - 673
  • [36] Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
    Ye, Jiancheng
    Yao, Liang
    Shen, Jiahong
    Janarthanam, Rethavathi
    Luo, Yuan
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (Suppl 11)
  • [37] Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models
    Du, Xinsong
    Min, Jae
    Shah, Chintan P.
    Bishnoi, Rohit
    Hogan, William R.
    Lemas, Dominick J.
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 139
  • [38] Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis
    Guillamet, Guillem Hernandez
    Pallaruelo, Ariadna Ning Morancho
    Mezquita, Laura Miro
    Miralles, Ramon
    Mas, Miquel angel
    Papaseit, Maria Jose Ulldemolins
    Cuxart, Oriol Estrada
    Segui, Francesc Lopez
    ONLINE JOURNAL OF PUBLIC HEALTH INFORMATICS, 2024, 15
  • [39] A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes
    Lakkaraju, Himabindu
    Aguiar, Everaldo
    Shan, Carl
    Miller, David
    Bhanpuri, Nasir
    Ghani, Rayid
    Addison, Kecia L.
    KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, : 1909 - 1918
  • [40] Predicting the complexity and mortality of polytrauma patients with machine learning models
    Yu, Meiqi
    Wang, Shen
    He, Kai
    Teng, Fei
    Deng, Jin
    Guo, Shuhang
    Yin, Xiaofeng
    Lu, Qingguo
    Gu, Wanjun
    SCIENTIFIC REPORTS, 2024, 14 (01)