Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining

Tu Bao HO; Saori KAWASAKI; Katsuhiko TAKABAYASHI; Canh Hao NGUYEN

doi:10.1093/ietisy/e90-d.10.1574

Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining

Tu Bao HO, Saori KAWASAKI, Katsuhiko TAKABAYASHI, Canh Hao NGUYEN

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From lessons learned in medical data mining projects we show that integration of advanced computation techniques and human inspection is indispensable in medical data mining. We proposed an integrated approach that merges data mining and text mining methods plus visualization support for expert evaluation. We also appropriately developed temporal abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Significant findings in hepatitis study were obtained by the integrated approach.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.10 pp.1574-1581

Publication Date: 2007/10/01

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Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.10.1574

Type of Manuscript: Special Section PAPER (Special Section on Knowledge, Information and Creativity Support System)

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Tu Bao HO, Saori KAWASAKI, Katsuhiko TAKABAYASHI, Canh Hao NGUYEN, "Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 10, pp. 1574-1581, October 2007, doi: 10.1093/ietisy/e90-d.10.1574.
Abstract: From lessons learned in medical data mining projects we show that integration of advanced computation techniques and human inspection is indispensable in medical data mining. We proposed an integrated approach that merges data mining and text mining methods plus visualization support for expert evaluation. We also appropriately developed temporal abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Significant findings in hepatitis study were obtained by the integrated approach.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.10.1574/_p

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@ARTICLE{e90-d_10_1574,
author={Tu Bao HO, Saori KAWASAKI, Katsuhiko TAKABAYASHI, Canh Hao NGUYEN, },
journal={IEICE TRANSACTIONS on Information},
title={Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining},
year={2007},
volume={E90-D},
number={10},
pages={1574-1581},
abstract={From lessons learned in medical data mining projects we show that integration of advanced computation techniques and human inspection is indispensable in medical data mining. We proposed an integrated approach that merges data mining and text mining methods plus visualization support for expert evaluation. We also appropriately developed temporal abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Significant findings in hepatitis study were obtained by the integrated approach.},
keywords={},
doi={10.1093/ietisy/e90-d.10.1574},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
T2 - IEICE TRANSACTIONS on Information
SP - 1574
EP - 1581
AU - Tu Bao HO
AU - Saori KAWASAKI
AU - Katsuhiko TAKABAYASHI
AU - Canh Hao NGUYEN
PY - 2007
DO - 10.1093/ietisy/e90-d.10.1574
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2007
AB - From lessons learned in medical data mining projects we show that integration of advanced computation techniques and human inspection is indispensable in medical data mining. We proposed an integrated approach that merges data mining and text mining methods plus visualization support for expert evaluation. We also appropriately developed temporal abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Significant findings in hepatitis study were obtained by the integrated approach.
ER -