Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability

Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability

Abstract Objectives Timely intervention in shock is vital, as delays over one hour greatly increase mortality. This study aims to develop an enhanced machine learning model that improves predictive performance by utilizing self-controlled data and applying feature engineering informed by medical kno...

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Bibliographic Details
Main Authors: Cheng-Yu Tsai, Xiu-Rong Huang, Po-Tsun Kuo, Tzu-Tao Chen, Yun-Kai Yeh, Kuan-Yuan Chen, Arnab Majumdar, Chien-Hua Tseng
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Shock
Early identification models
Machine learning
Feature engineering
Medical information Mart for intensive care III (MIMIC-3)
Online Access:https://doi.org/10.1186/s12911-025-03108-2
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