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Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
Clinical outcome prediction based on Electronic Health Record (EHR) helps enable early interventions for high-risk patients, and is thus a central task for smart healthcare. Conventional deep sequential models fail to capture the rich temporal patterns encoded in the long and irregular clinical even...
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| Pubblicato in: | AMIA Annu Symp Proc |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153073/ https://ncbi.nlm.nih.gov/pubmed/32308854 |
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