Patients visits forecasting in emergency departments: Self-adapting LSTM models for evolving data distributions.
Saved in:
| Title: | Patients visits forecasting in emergency departments: Self-adapting LSTM models for evolving data distributions. |
|---|---|
| Authors: | Haxaire N; University of Technology of Troyes, Troyes, 10000, France. Electronic address: nicolas.haxaire@utt.fr., Mourad-Chehade F; University of Technology of Troyes, Troyes, 10000, France. Electronic address: farah.chehade@utt.fr., Yalaoui A; University of Technology of Troyes, Troyes, 10000, France. Electronic address: alice.yalaoui@utt.fr., Nader P; OPTACARE, Rosières-Près-Troyes, 10430, France. Electronic address: patrick.nader@optacare.fr., Chehade H; OPTACARE, Rosières-Près-Troyes, 10430, France. Electronic address: hicham.chehade@optacare.fr. |
| Source: | Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Feb 01; Vol. 274, pp. 109153. Date of Electronic Publication: 2025 Nov 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1872-7565 |
|---|---|
| DOI: | 10.1016/j.cmpb.2025.109153 |
