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Automatic Classification of Foot Examination Findings Using Clinical Notes and Machine Learning
We examine the feasibility of a machine learning approach to identification of foot examination (FE) findings from the unstructured text of clinical reports. A Support Vector Machine (SVM) based system was constructed to process the text of physical examination sections of in- and out-patient clinic...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2274799/ https://ncbi.nlm.nih.gov/pubmed/18096902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M2585 |
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