Projekter pr. år
Abstract
Predicting patients' hospital length of stay (LOS) is essential for improving resource allocation and supporting decision-making in healthcare organizations. This paper proposes a novel transformer-based model, termed Medic-BERT (M-BERT), for predicting LOS by modeling patient information as sequences of events. We performed empirical experiments on a cohort of $48k$ emergency care patients from a large Danish hospital. Experimental results show that M-BERT can achieve high accuracy on a variety of LOS problems and outperforms traditional non-sequence-based machine learning approaches.
Originalsprog | Engelsk |
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Titel | Artificial Intelligence in Medicine : 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings |
Redaktører | Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker |
Antal sider | 6 |
Forlag | Springer |
Publikationsdato | 7 jun. 2023 |
Sider | 51-56 |
ISBN (Trykt) | 978-3-031-34343-8 |
ISBN (Elektronisk) | 978-3-031-34344-5 |
DOI | |
Status | Udgivet - 7 jun. 2023 |
Begivenhed | International Conference on Artificial Intelligence in Medicine - Bernardin Congress Centre, Portoroz, Slovenien Varighed: 12 jun. 2023 → 15 jun. 2023 https://aime23.aimedicine.info/ |
Konference
Konference | International Conference on Artificial Intelligence in Medicine |
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Lokation | Bernardin Congress Centre |
Land/Område | Slovenien |
By | Portoroz |
Periode | 12/06/2023 → 15/06/2023 |
Internetadresse |
Navn | Lecture Notes in Computer Science (LNCS) |
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Vol/bind | LNCS 13897 |
ISSN | 0302-9743 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Patient Event Sequences for Predicting Hospitalization Length of Stay'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Igangværende
-
Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K. (PI (principal investigator)), Jendal, T. E. (Projektdeltager) & Hansen, E. R. (Projektdeltager)
01/11/2019 → 31/12/2025
Projekter: Projekt › Forskning
Publikation
- 3 Citationer
- 1 Ph.d.-afhandling
-
Representing Health Data and Medical Knowledge for Deep Learning
Hansen, E. R., 2023, Aalborg Universitetsforlag. 163 s.Publikation: Ph.d.-afhandling
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