Literature DB >> 18274647

Question processing and clustering in INDOC: a biomedical question answering system.

Parikshit Sondhi1, Purushottam Raj, V Vinod Kumar, Ankush Mittal.   

Abstract

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.

Year:  2007        PMID: 18274647      PMCID: PMC3171333          DOI: 10.1155/2007/28576

Source DB:  PubMed          Journal:  EURASIP J Bioinform Syst Biol        ISSN: 1687-4145


  11 in total

1.  Practitioners of evidence based care. Not all clinicians need to appraise evidence from scratch but all need some skills.

Authors:  G H Guyatt; M O Meade; R Z Jaeschke; D J Cook; R B Haynes
Journal:  BMJ       Date:  2000-04-08

2.  Does the structure of clinical questions affect the outcome of curbside consultations with specialty colleagues?

Authors:  G R Bergus; C S Randall; S D Sinift; D M Rosenthal
Journal:  Arch Fam Med       Date:  2000-06

3.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

4.  Aggregating UMLS semantic types for reducing conceptual complexity.

Authors:  A T McCray; A Burgun; O Bodenreider
Journal:  Stud Health Technol Inform       Date:  2001

5.  A taxonomy of generic clinical questions: classification study.

Authors:  J W Ely; J A Osheroff; P N Gorman; M H Ebell; M L Chambliss; E A Pifer; P Z Stavri
Journal:  BMJ       Date:  2000-08-12

6.  Exploring semantic groups through visual approaches.

Authors:  Olivier Bodenreider; Alexa T McCray
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

Review 7.  A survey of current work in biomedical text mining.

Authors:  Aaron M Cohen; William R Hersh
Journal:  Brief Bioinform       Date:  2005-03       Impact factor: 11.622

8.  Obstacles to answering doctors' questions about patient care with evidence: qualitative study.

Authors:  John W Ely; Jerome A Osheroff; Mark H Ebell; M Lee Chambliss; Daniel C Vinson; James J Stevermer; Eric A Pifer
Journal:  BMJ       Date:  2002-03-23

9.  Analysis of questions asked by family doctors regarding patient care.

Authors:  J W Ely; J A Osheroff; M H Ebell; G R Bergus; B T Levy; M L Chambliss; E R Evans
Journal:  BMJ       Date:  1999-08-07

10.  Can primary care physicians' questions be answered using the medical journal literature?

Authors:  P N Gorman; J Ash; L Wykoff
Journal:  Bull Med Libr Assoc       Date:  1994-04
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