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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oai:animorepository.dlsu.edu.ph:etd_masteral-109712022-03-21T06:24:28Z Automatic generation of medical counseling from multiple sources Yiu, Jonathan C. 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. 2012-02-13T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/4133 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10971/viewcontent/CDTG005140_P.pdf Master's Theses English Animo Repository Diagnosis Diagnostic services Medical care Counseling |
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Diagnosis Diagnostic services Medical care Counseling Yiu, Jonathan C. Automatic generation of medical counseling from multiple sources |
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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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Yiu, Jonathan C. |
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Yiu, Jonathan C. |
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Yiu, Jonathan C. |
title |
Automatic generation of medical counseling from multiple sources |
title_short |
Automatic generation of medical counseling from multiple sources |
title_full |
Automatic generation of medical counseling from multiple sources |
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Automatic generation of medical counseling from multiple sources |
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Automatic generation of medical counseling from multiple sources |
title_sort |
automatic generation of medical counseling from multiple sources |
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Animo Repository |
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2012 |
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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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