Phenotyping of AMI patients using machine learning: integration of clinical, metabolic, and behavioral features to identify high-risk "frailty-inflammation" phenotype.
Overview & Synopsis
Open access biomedical research article published in Front Cardiovasc Med.
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | Phenotyping of AMI patients using machine learning: integration of clinical, metabolic, and behavioral features to identify high-risk "frailty-inflammation" phenotype. |
|---|---|
| Author / Organization | Zhao Y, Ding W, Li H, Guo S, Fan Y |
| Subject & Discipline | Front Cardiovasc Med |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-31503 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |