TEE4EHR: Transformer event encoder for better representation learning in electronic health records-Reference-Cited by-同舟云学术

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TEE4EHR: Transformer event encoder for better representation learning in electronic health records

Published:2024-08 Issue: Volume:154 Page:102903
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Karami Hojjat^ORCID,Atienza David^ORCID,Ionescu Anisoara^ORCID

Funder

Horizon 2020

Publisher

Elsevier BV

Reference54 articles.

1. Machine learning for clinical decision support in infectious diseases: A narrative review of current applications;Peiffer-Smadja;Clin Microbiol Infect,2020

2. Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making;Pourhomayoun;Smart Health,2021

3. Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning;Kao;Proc AAAI Conf Artif Intell,2018

4. Machine-learning-based laboratory developed test for the diagnosis of sepsis in high-risk patients;Calvert;Diagnostics,2019

5. LEAP: learning to prescribe effective and safe treatment combinations for multimorbidity;Zhang,2017

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