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Deep Neural Network Architectures for Forecasting Analgesic Response
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of trial and error. Furthermore, a significant portion of patients experience adverse events such as post-operative urinary retention (POUR) during inpatien...
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| Publicado no: | Conf Proc IEEE Eng Med Biol Soc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5445646/ https://ncbi.nlm.nih.gov/pubmed/28268935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2016.7591352 |
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