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
  • [31] Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations
    Yuxiang Song
    Di Zhang
    Qian Wang
    Yuqing Liu
    Kunsha Chen
    Jingjia Sun
    Likai Shi
    Baowei Li
    Xiaodong Yang
    Weidong Mi
    Jiangbei Cao
    Translational Psychiatry, 14
  • [32] Analysis of machine learning and deep learning prediction models for sepsis and neonatal sepsis: A systematic review
    Parvin, A. Safiya
    Saleena, B.
    ICT EXPRESS, 2023, 9 (06): : 1215 - 1225
  • [33] Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters
    Stork, Conrad
    Chen, Ya
    Sicho, Martin
    Kirchmair, Johannes
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2019, 59 (03) : 1030 - 1043
  • [34] Ensemble Machine-Learning Models for Accurate Prediction of Solar Irradiation in Bangladesh
    Alam, Md Shafiul
    Al-Ismail, Fahad Saleh
    Hossain, Md Sarowar
    Rahman, Syed Masiur
    PROCESSES, 2023, 11 (03)
  • [35] Defining "Better Prediction" by Machine-Learning Models Toward Clinical Application
    Hamaya, Rikuta
    Sahashi, Yuki
    Kagiyama, Nobuyuki
    JACC-CARDIOVASCULAR IMAGING, 2022, 15 (03) : 550 - 550
  • [36] Machine-learning models for bankruptcy prediction: do industrial variables matter?
    Bragoli, Daniela
    Ferretti, Camilla
    Ganugi, Piero
    Marseguerra, Giovanni
    Mezzogori, Davide
    Zammori, Francesco
    SPATIAL ECONOMIC ANALYSIS, 2022, 17 (02) : 156 - 177
  • [37] Prediction of Post-Intubation Tachycardia Using Machine-Learning Models
    Kim, Hanna
    Jeong, Young-Seob
    Kang, Ah Reum
    Jung, Woohyun
    Chung, Yang Hoon
    Koo, Bon Sung
    Kim, Sang Hyun
    APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [38] Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
    Hanyin Wang
    Yikuan Li
    Andrew Naidech
    Yuan Luo
    BMC Medical Informatics and Decision Making, 22
  • [39] Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
    Wang, Hanyin
    Li, Yikuan
    Naidech, Andrew
    Luo, Yuan
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022, 22 (SUPPL 2)
  • [40] Robust Machine-Learning Technique for Prediction of Late Mortality After Myocardial Injury in Noncardiac Surgery Patients
    Johnson, Bijoy
    Francis, Johnson
    AMERICAN JOURNAL OF CARDIOLOGY, 2023, 204 : 428 - 429
12345