Identification of crucial genes related to heart failure based on GEO database

Identification of crucial genes related to heart failure based on GEO database

Abstract Background The molecular biological mechanisms underlying heart failure (HF) remain poorly understood. Therefore, it is imperative to use innovative approaches, such as high-throughput sequencing and artificial intelligence, to investigate the pathogenesis, diagnosis, and potential treatmen...

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Bibliographic Details
Main Authors: Yongliang Chen, Jing Xue, Xiaoli Yan, Da-guang Fang, Fangliang Li, Xuefei Tian, Peng Yan, Zengbin Feng
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Cardiovascular Disorders
Subjects:
Heart failure
Diagnosis
Support Vector Machine
Random Forest
Artificial neural network
Online Access:https://doi.org/10.1186/s12872-023-03400-x

Internet

https://doi.org/10.1186/s12872-023-03400-x

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