Automatic generation of medical counseling from multiple sources
This research discusses a diagnosing system in the domain of biomedicine that provides recommendations to determined diseases. An ontology is used to represent domain knowledge and is used to diagnose a person's illness. An extractive summary, from multiple sources, will be generated to provide...
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| Format: | text |
| Language: | English |
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Animo Repository
2012
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| Online Access: | https://animorepository.dlsu.edu.ph/etd_masteral/4133 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10971/viewcontent/CDTG005140_P.pdf |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | This research discusses a diagnosing system in the domain of biomedicine that provides recommendations to determined diseases. An ontology is used to represent domain knowledge and is used to diagnose a person's illness. An extractive summary, from multiple sources, will be generated to provide the recommendations. Extractive summary is an approach to forming a summary by extracting important sentences from input documents, where little or no transformation is involved. Multi-document summarization will deal with the issue of information selection and redundancy. This research aims to highlight the important points of the documents in generating the final summary. |
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