Developing in hospital mortality prediction model tools for patients with acute myocardial infarction (STEMI) using Yazd cardiovascular disease registry, YCDR data.
The findings of this study indicated that the decision tree algorithm had higher accuracy across all three models: clinical, laboratory, and combined clinical-laboratory compared to logistic regression. However, logistic regression showed higher sensitivity and better ROC curve performance than the decision tree algorithm.
Authors
- Mohsen Askarishahi (ORCID: https://orcid.org/0000-0003-2390-9578)
- Hamid Dehghani (ORCID: https://orcid.org/0000-0003-4117-0412)
- Mohsen Mohammadi (ORCID: https://orcid.org/0000-0002-1580-6539)
- Masoud Mirzaei (ORCID: https://orcid.org/0000-0001-6455-0747)
- S M Sadr Bafghi
- Seyedeh Mahdieh Namayandeh
Institutions
- Shahid Sadoughi University of Medical Sciences and Health Services (IR)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.48305/arya.2025.43144.3004
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Yazd University