Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Currently, the treatment and care of patients with traumatic brain injury (TBI) are intractable health problems worldwide and greatly increase the medical burden in society. However, machine learning-based algorithms and the use of a large amount of data accumulated in the clinic in the past can pre...

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Vydané v:	JMIR human factors Ročník 11; s. e62866
Hlavní autori:	Zhou, Huan, Fang, Cheng, Pan, Yifeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Canada JMIR Publications 30.08.2024
Predmet:	Adult Aged Algorithms Boolean Brain Injuries, Traumatic - diagnosis Brain Injuries, Traumatic - therapy China Clinical decision making Datasets Female Hospitalization Hospitalization - statistics & numerical data Humans Length of stay Length of Stay - statistics & numerical data Machine Learning Male Medical records Methods Middle Aged Missing data Neural networks Neurosurgery Patients Statistical analysis Surgery Trauma Traumatic brain injury Variables China traumatic brain injury predictive model support vector regression machine hospitalization machine learning
ISSN:	2292-9495, 2292-9495
On-line prístup:	Získať plný text
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