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Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation
BACKGROUND: Scalable and accurate health outcome prediction using electronic health record (EHR) data has gained much attention in research recently. Previous machine learning models mostly ignore relations between different types of clinical data (ie, laboratory components, International Classifica...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136840/ https://www.ncbi.nlm.nih.gov/pubmed/32202503 http://dx.doi.org/10.2196/16374 |