A predictive model for the treatment outcomes of patients with secondary mitral regurgitation based on machine learning and model interpretation

Authors

Institutions

Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-22
DOI
https://doi.org/10.1186/s12911-025-03282-3
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A predictive model for the treatment outcomes of patients with secondary mitral regurgitation based on machine learning and model interpretation

Yitian Lang, Ting Liu, Qing Zhang, Keyi Liu
BMC Medical Informatics and Decision Making
Cardiac Valve Diseases and Treatments
article

A predictive model for the treatment outcomes of patients with secondary mitral regurgitation based on machine learning and model interpretation

Yitian Lang, Ting Liu, Qing Zhang, Keyi Liu
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision MakingVol. 25(1)
Central South University (CN), Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 47%
Cardiac Valve Diseases and Treatments
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.