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Deep neural network models for identifying incident dementia using claims and EHR datasets
This study investigates the use of deep learning methods to improve the accuracy of a predictive model for dementia, and compares the performance to a traditional machine learning model. With sufficient accuracy the model can be deployed as a first round screening tool for clinical follow-up includi...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514098/ https://ncbi.nlm.nih.gov/pubmed/32970677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0236400 |
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