Text mining model applied to electronic medical records of palliative care patients in Panama
Text mining is based on new knowledge extraction from unstructured natural language data. The application of techniques of text mining for the domain of medicine, especially information from electronic health records of patients in palliative care is one of the most recent and promising research are...
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| Format: | article |
| Langue: | espagnol |
| Publié: |
2016
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| Accès en ligne: | http://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/1240 http://ridda2.utp.ac.pa/handle/123456789/1829 |
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| Résumé: | Text mining is based on new knowledge extraction from unstructured natural language data. The application of techniques of text mining for the domain of medicine, especially information from electronic health records of patients in palliative care is one of the most recent and promising research areas for the analysis of textual data. We may also create ontologies to describe the terminology and knowledge in a given domain. In an ontology, conceptualization of a domain that may be general or specific formalized. In the paper, we propose a model to find patterns of relevant information in the electronic health records of patients in palliative care units in Panama, based on the use phase of text mining and development of an ontology to discover hidden knowledge. |
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