A Machine Learning Model for Predicting Unscheduled 72 h Return Visits to the Emergency Department by Patients with Abdominal Pain

Seventy-two-hour unscheduled return visits (URVs) by emergency department patients are a key clinical index for evaluating the quality of care in emergency departments (EDs). This study aimed to develop a machine learning model to predict 72 h URVs for ED patients with abdominal pain. Electronic hea...

Descripción completa

Detalles Bibliográficos
Autores principales: Hsu, Chun-Chuan, Chu, Cheng-C.J., Lin, Ching-Heng, Huang, Chien-Hsiung, Ng, Chip-Jin, Lin, Guan-Yu, Chiou, Meng-Jiun, Lo, Hsiang-Yun, Chen, Shou-Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775134/
https://www.ncbi.nlm.nih.gov/pubmed/35054249
http://dx.doi.org/10.3390/diagnostics12010082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775134/
https://www.ncbi.nlm.nih.gov/pubmed/35054249
http://dx.doi.org/10.3390/diagnostics12010082

Ejemplares similares