Development of decision tree classification algorithms in predicting mortality of COVID-19 patients
The CART and C5.0 models had outperformed in sensitivity but CHAID demonstrates a better performance compared to other decision tree algorithms in specificity, precision, accuracy and shows a slight improvement over the logistic regression method in predicting the risk of COVID-19 mortality in the population under study.
Authors
- Karimollah Hajian‐Tilaki (ORCID: https://orcid.org/0000-0001-6830-1916)
- Shabnam Bahrami
- Abazar Amoozadeh
- Mahmoud Sadeghi Haddat-Zavareh
- Zahra Mohammadi-Pirouz
Institutions
- Babol University of Medical Sciences (IR)
Publication Details
- Journal
- International Journal of Emergency Medicine
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12245-024-00681-7
- Citations
- 22
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 15.57
Funders
- Babol University of Medical Sciences