Yiding Yu

The paper identifies key genes and pathways linking respiratory infections to heart failure exacerbation using bioinformatics and machine learning.

The paper identifies four genes as potential biomarkers for early detection of acute decompensated heart failure caused by venous congestion using bioinformatics and machine learning.

The paper identifies aging-related genes in heart failure using WGCNA, CellAge, and machine learning algorithms, and validates potential therapeutic drugs.

This study identifies four immune-related genes for diagnosing ischaemic heart failure using bioinformatics and machine learning models, showing high diagnostic accuracy.