Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example

Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example

Abstract Background There are often many missing values in medical data, which directly affect the accuracy of clinical decision making. Discharge assessment is an important part of clinical decision making. Taking the discharge assessment of patients with spontaneous supratentorial intracerebral he...

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Bibliographic Details
Main Authors: Huimin Wang, Jianxiang Tang, Mengyao Wu, Xiaoyu Wang, Tao Zhang
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical decision making
Missing data
Imputation
Machine learning
Ensemble learning
Discharge assessment
Online Access:https://doi.org/10.1186/s12911-022-01752-6

Internet

https://doi.org/10.1186/s12911-022-01752-6

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