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Question Processing and Clustering in INDOC: A Biomedical Question Answering System

The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, le...

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Detalles Bibliográficos
Autores principales: Sondhi, Parikshit, Raj, Purushottam, Kumar, V Vinod, Mittal, Ankush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171333/
https://www.ncbi.nlm.nih.gov/pubmed/18274647
http://dx.doi.org/10.1155/2007/28576
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author Sondhi, Parikshit
Raj, Purushottam
Kumar, V Vinod
Mittal, Ankush
author_facet Sondhi, Parikshit
Raj, Purushottam
Kumar, V Vinod
Mittal, Ankush
author_sort Sondhi, Parikshit
collection PubMed
description The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, leaving most of the questions unanswered. This accentuates the need for fast and accurate biomedical question answering systems. In this paper we introduce INDOC—a biomedical question answering system based on novel ideas of indexing and extracting the answer to the questions posed. INDOC displays the results in clusters to help the user arrive the most relevant set of documents quickly. Evaluation was done against the standard OHSUMED test collection. Our system achieves high accuracy and minimizes user effort.
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spelling pubmed-31713332011-09-13 Question Processing and Clustering in INDOC: A Biomedical Question Answering System Sondhi, Parikshit Raj, Purushottam Kumar, V Vinod Mittal, Ankush EURASIP J Bioinform Syst Biol Research Article The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, leaving most of the questions unanswered. This accentuates the need for fast and accurate biomedical question answering systems. In this paper we introduce INDOC—a biomedical question answering system based on novel ideas of indexing and extracting the answer to the questions posed. INDOC displays the results in clusters to help the user arrive the most relevant set of documents quickly. Evaluation was done against the standard OHSUMED test collection. Our system achieves high accuracy and minimizes user effort. Springer 2007-12-05 /pmc/articles/PMC3171333/ /pubmed/18274647 http://dx.doi.org/10.1155/2007/28576 Text en Copyright © 2007 Parikshit Sondhi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sondhi, Parikshit
Raj, Purushottam
Kumar, V Vinod
Mittal, Ankush
Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title_full Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title_fullStr Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title_full_unstemmed Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title_short Question Processing and Clustering in INDOC: A Biomedical Question Answering System
title_sort question processing and clustering in indoc: a biomedical question answering system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171333/
https://www.ncbi.nlm.nih.gov/pubmed/18274647
http://dx.doi.org/10.1155/2007/28576
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