Uncovering STEMI patient phenotypes using unsupervised machine learning
| Title: | Uncovering STEMI patient phenotypes using unsupervised machine learning |
|---|---|
| Authors: | Chunta, Alec; Miller, Robert J.H. |
| Source: | International Journal of Cardiology ; volume 413, page 132346 ; ISSN 0167-5273 |
| Publisher Information: | Elsevier BV |
| Publication Year: | 2024 |
| Collection: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| Document Type: | article in journal/newspaper |
| Language: | English |
| DOI: | 10.1016/j.ijcard.2024.132346 |
| Availability: | http://dx.doi.org/10.1016/j.ijcard.2024.132346; https://api.elsevier.com/content/article/PII:S0167527324009689?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0167527324009689?httpAccept=text/plain |
| Rights: | https://www.elsevier.com/tdm/userlicense/1.0/ ; https://www.elsevier.com/legal/tdmrep-license |
| Accession Number: | edsbas.91D78CC5 |
| Database: | BASE |