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HCET: Hierarchical Clinical Embedding with Topic Modeling on Electronic Health Record for Predicting Depression
Recent developments in machine learning algorithms have enabled models to exhibit impressive performance in healthcare tasks using electronic health record (EHR) data. However, the heterogeneous nature and sparsity of EHR data remains challenging. In this work, we present a model that utilizes heter...
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| Pubblicato in: | IEEE J Biomed Health Inform |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8086808/ https://ncbi.nlm.nih.gov/pubmed/32749975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2020.3004072 |
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