Analysis of factors affecting the length of stay of patients using clustering and association rules (Case study: Amir al-Momenin Hospital, Maragheh)
Abstrak
One of the major indicators in evaluating the performance of hospitals and their managers is the average length of stay of patients; given the importance of this indicator, the present study has examined the factors affecting the length of stay of hospitalized patients. This study was conducted with the aim of identifying the key factors affecting the length of stay of patients and providing practical solutions for improving the management of hospital beds. Data from 26,907 patients were analyzed using clustering models, clustering algorithms (K-Means) and association rules extraction (Apriori). The data consists of 10 numerical and discrete columns. The variables include 10 items, which are respectively: gender, marital status, hospitalization department, physician specialty, insurance, blood transfusion, surgery, type of discharge, age, and length of stay. The findings showed that the variables of surgery and blood transfusion have the greatest impact on the average length of stay in the hospital.
Topik & Kata Kunci
Penulis (3)
Mahdi Yousefi Nejad
Karim Farajian
Hossein Jaleb
Akses Cepat
- Tahun Terbit
- 2025
- Sumber Database
- DOAJ
- DOI
- 10.22091/jemsc.2025.11174.1195
- Akses
- Open Access ✓