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Generic medical concept embedding and time decay for diverse patient outcome prediction tasks
Many fields, including Natural Language Processing (NLP), have recently witnessed the benefit of pre-training with large generic datasets to improve the accuracy of prediction tasks. However, there exist key differences between the longitudinal healthcare data (e.g., claims) and NLP tasks, which mak...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418804/ https://www.ncbi.nlm.nih.gov/pubmed/36039302 http://dx.doi.org/10.1016/j.isci.2022.104880 |