Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage

Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage

Abstract Background Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to con...

Full description

Bibliographic Details
Main Authors: Jianxiang Tang, Xiaoyu Wang, Hongli Wan, Chunying Lin, Zilun Shao, Yang Chang, Hexuan Wang, Yi Wu, Tao Zhang, Yu Du
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Mortality outcome prediction
Intracerebral hemorrhage
Machine learning
Ensemble learning
Outlier detection
Imbalanced data
Online Access:https://doi.org/10.1186/s12911-022-02018-x

Internet

https://doi.org/10.1186/s12911-022-02018-x

Similar Items