Article

Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention Based Transformers and Association Mining: Covid-19 as Phenotype

2023-01-19

Abstract excerpt

Predicting Length of Stay (LoS) and understanding its underlying factors is essential to minimize the risk of hospital-acquired conditions, improve financial, operational, and clinical outcomes, and to better manage future pandemics. The purpose of this study is to forecast patients’ LoS using a deep learning model and analyze cohorts of risk factors minimizing or maximizing LoS. We employed various pre-proc...

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Literature Corpus work: 74a91dd1-1fef-5ed5-9373-1d89d42e62e2
DOI: 10.20944/preprints202301.0341.v1

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