Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records

Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records

Abstract Background Electronic medical records (EMR)-trained machine learning models have the potential in CVD risk prediction by integrating a range of medical data from patients, facilitate timely diagnosis and classification of CVDs. We tested the hypothesis that unsupervised ML approach utilizin...

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Bibliographic Details
Main Authors: Ying Hu, Hai Yan, Ming Liu, Jing Gao, Lianhong Xie, Chunyu Zhang, Lili Wei, Yinging Ding, Hong Jiang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Research Methodology
Subjects:
Machine learning
K-means clustering
Bayesian theorem
Cardiovascular diseases
EMR
Online Access:https://doi.org/10.1186/s12874-024-02422-z
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https://doi.org/10.1186/s12874-024-02422-z

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