Machine-learning models for prediction of sepsis patients mortality: A needed consideration

被引：0
|
作者：
Fernandez, Marcos Valiente [1 ]
Moya, Francisco de Paula Delgado [1 ]
de Aledo, Amanda Lesmes Gonzalez [1 ]
Badia, Isaias Martin [1 ]
机构：
[1] Hosp Univ 12 Octubre, Serv Med Intens, Ave Cordoba s-n, Madrid 28041, Spain
来源：
MEDICINA INTENSIVA | 2023年 / 47卷 / 07期
关键词：
D O I：
10.1016/j.medin.2023.04.008
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
引用
收藏
页码：416 / 417
页数：2
相关论文
共 50 条
  • [41] Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia Development and Validation Study
    Cilloniz, Catia
    Ward, Logan
    Mogensen, Mads Lause
    Pericas, Juan M.
    Mendez, Raul
    Gabarrus, Albert
    Ferrer, Miquel
    Garcia-Vidal, Carolina
    Menendez, Rosario
    Torres, Antoni
    CHEST, 2023, 163 (01) : 77 - 88
  • [42] Diagnostic performance of machine-learning algorithms for sepsis prediction: An updated meta-analysis
    Zhang, Hongru
    Wang, Chen
    Yang, Ning
    TECHNOLOGY AND HEALTH CARE, 2024, 32 (06) : 4291 - 4307
  • [43] Developing Machine-Learning Prediction Algorithm for Bacteremia in Admitted Patients
    Mahmoud, Ebrahim
    Al Dhoayan, Mohammed
    Bosaeed, Mohammad
    Al Johani, Sameera
    Arabi, Yaseen M.
    INFECTION AND DRUG RESISTANCE, 2021, 14 : 757 - 765
  • [44] Machine-Learning Aided Peer Prediction
    Liu, Yang
    Chen, Yiling
    EC'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON ECONOMICS AND COMPUTATION, 2017, : 63 - 80
  • [45] Hybrid models of machine-learning and mechanistic models for indoor particulate matter concentration prediction
    Kim, Jihoon
    Son, Jiin
    Koo, Junemo
    JOURNAL OF BUILDING ENGINEERING, 2024, 86
  • [46] Prediction of cholinergic compounds by machine-learning
    Wijeyesakere S.J.
    Wilson D.M.
    Sue Marty M.
    Wilson, Daniel M. (MWilson3@dow.com), 1600, Elsevier B.V. (13):
  • [47] Development and validation of echocardiography-based machine-learning models to predict mortality
    Valsaraj, Akshay
    Kalmady, Sunil Vasu
    Sharma, Vaibhav
    Frost, Matthew
    Sun, Weijie
    Sepehrvand, Nariman
    Ong, Marcus
    Equilbec, Cyril
    Dyck, Jason R. B.
    Anderson, Todd
    Becher, Harald
    Weeks, Sarah
    Tromp, Jasper
    Hung, Chung-Lieh
    Ezekowitz, Justin A.
    Kaul, Padma
    EBIOMEDICINE, 2023, 90
  • [48] Results of 20 Machine-Learning Techniques to Identify Sepsis Patients in the Emergency Department
    Sherwin, R.
    Ying, H.
    ANNALS OF EMERGENCY MEDICINE, 2018, 72 (04) : S6 - S7
  • [49] Machine-Learning Studies on Spin Models
    Shiina, Kenta
    Mori, Hiroyuki
    Okabe, Yutaka
    Lee, Hwee Kuan
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [50] Machine-Learning Studies on Spin Models
    Kenta Shiina
    Hiroyuki Mori
    Yutaka Okabe
    Hwee Kuan Lee
    Scientific Reports, 10
12345