Integration of machine learning to identify diagnostic genes in leukocytes for acute myocardial infarction patients.
Lin ZhangYue LiuKaiyue WangXiangqin OuJiashun ZhouHouliang ZhangMin HuangZhenfang DuSheng QiangPublished in: Journal of translational medicine (2023)
AQP9 and SOCS3 in leukocytes may be conducive to identifying AMI patients with SCAD patients. AQP9 and SOCS3 are closely associated with monocytes and neutrophils, which might contribute to advancing AMI diagnosis and shed light on novel genetic markers. Multiple clinical characteristics, multicenter, and large-sample relevant trials are still needed to confirm its clinical value.
Keyphrases
- acute myocardial infarction
- end stage renal disease
- machine learning
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- genome wide
- dendritic cells
- gene expression
- clinical trial
- heart failure
- coronary artery disease
- artificial intelligence
- atrial fibrillation
- acute coronary syndrome
- cross sectional
- patient reported