Comparative Analysis of Machine Learning Algorithms for Predicting Patient Admission in Emergency Departments Using EHR Data
Every patient who is rushed to the Emergency Department needs fast treatment to determine whether the patient should be inpatient or outpatient. However, the existing fact is that deciding whether an inpatient or outpatient must wait for the diagnosis made by the existing doctor, so if there are man...
Saved in:
| Main Authors: | Ahmad Abdul Chamid, Ratih Nindyasari, Muhammad Imam Ghozali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ikatan Ahli Informatika Indonesia
2025-03-01
|
| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Limiting the number of open charts does not impact wrong patient order entry in the emergency department
by: Christina Canfield, et al.
Published: (2020-10-01) -
Pharmacy Preparedness in Disaster Management in Pediatric Emergency Department (PED)
by: Dr Faiza Usman
Published: (2024-03-01) -
Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study
by: Cyrielle Brossard, et al.
Published: (2025-01-01) -
Predicting early hospital admissions for emergency department patients at the time of triage
by: Shahad M. Al-Ashgar, et al.
Published: (2024-03-01) -
Changes in low‐acuity patient volume in an emergency department after launching a walk‐in clinic
by: Divya Kurian, et al.
Published: (2023-08-01)