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Machine learning for psychiatric patient triaging: an investigation of cascading classifiers
OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification reliability. MATERIALS AND METHODS: The One-class-...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6213089/ https://ncbi.nlm.nih.gov/pubmed/30380082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy109 |
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