Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection

Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection

Abstract Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI, are more susceptible to procedural compl...

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Bibliographic Details
Main Authors: Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Health Services Research
Subjects:
PCI
National Health Insurance Research Database; NHIRD
Medical expense
Machine learning methods
Feature selection
Online Access:https://doi.org/10.1186/s12913-025-12218-6
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https://doi.org/10.1186/s12913-025-12218-6

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