Ranking important predictors of the need for a high-acuity psychiatry unit among 2,064 inpatients admitted to psychiatric emergency hospitals
A random forest model
Bibliographic Data
| ID | 15516305 |
|---|---|
| Authors | Mai Iwanaga (0000-0002-2837-494X, National Center of Neurology and Psychiatry, corresponding author), Sosei Yamaguchi (0000-0002-0579-4431, National Center of Neurology and Psychiatry), Satoshi Hashimoto (Kumamoto Medical Center), Shimpei Hanaoka (0000-0001-5061-7664), Hiroshi Kaneyuki, Kiyoshi Fujita, Yoshiki Kishi (Okayama Psychiatric Medical Center), Toyoaki Hirata (0000-0001-6314-0068), Chiyo Fujii (0000-0003-1715-1940, National Center of Neurology and Psychiatry), Naoya Sugiyama (National Center of Neurology and Psychiatry) |
| Year | 2024 |
| Volume | 15 |
| Pages | 1303189-1303189 |
| Publication date | 2024-02-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2024.1303189 |
| PMID | 38389987 |
| OpenAlex | W4391650121 |
| Language | EN |
| References cited | 23 |
Items related to the patient's clinical profile might hold greater importance in predicting the need for a high-acuity psychiatry unit than do items associated with age and diagnosis
Emergency psychiatry · Psychiatry · Random forest · Ranking (information retrieval · Unit (ring theory · Computer Science · Emergency and Acute Care Studies · Healthcare Decision-Making and Restraints · Medicine · Psychiatric care and mental health services · Psychology · Emergency Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |