research-article

Multidimensional temporal mining in clinical data

Authors:

Shusaku Tsumoto,

Shoji HiranoAuthors Info & Claims

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Pages 563 - 572

https://doi.org/10.1145/2110363.2110426

Published: 28 January 2012 Publication History

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Abstract

Since medical and healthcare data include temporal trends of clinical symptoms, temporal data mining is one of the most important elements to discover knowledge. In this paper, we propose a three-dimensional trajectories mining method to capture the similarities between temporal trajectories of three selected variables. The method was evaluated on two datasets: one is on chronic hepatitis, and the other is on temporal trends of #orders in our university hospital. The results showed that, compared with conventional studies, the method gave more detailed classification of temporal trends.

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Cited By

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Tsumoto SHirano SKawamura T(2016)Statistical Estimation of Software Quality in Hospital Information SystemServiceology for Smart Service System10.1007/978-4-431-56074-6_37(341-350)Online publication date: 6-Oct-2016
https://doi.org/10.1007/978-4-431-56074-6_37
Kawamura TKimura TTsumoto S(2014)Data Mining-Based Service Quality Estimation in Hospital Information System2014 IEEE International Conference on Data Mining Workshop10.1109/ICDMW.2014.162(289-295)Online publication date: Dec-2014
https://doi.org/10.1109/ICDMW.2014.162
Kawamura TKimura TTsumoto S(2014)Estimation of Service Quality of a Hospital Information System Using a Service LogThe Review of Socionetwork Strategies10.1007/s12626-014-0044-x8:2(53-68)Online publication date: 11-Dec-2014
https://doi.org/10.1007/s12626-014-0044-x

Index Terms

Multidimensional temporal mining in clinical data
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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Information

Published In

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

January 2012

914 pages

ISBN:9781450307819

DOI:10.1145/2110363

General Chairs:
Gang Luo
IBM Research, USA
,
Jiming Liu
Hong Kong Baptist University
,
Program Chair:
Christopher C. Yang
Drexel University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 January 2012

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SIGHIT

IHI '12: ACM International Health Informatics Symposium

January 28 - 30, 2012

Florida, Miami, USA

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Cited By

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Tsumoto SHirano SKawamura T(2016)Statistical Estimation of Software Quality in Hospital Information SystemServiceology for Smart Service System10.1007/978-4-431-56074-6_37(341-350)Online publication date: 6-Oct-2016
https://doi.org/10.1007/978-4-431-56074-6_37
Kawamura TKimura TTsumoto S(2014)Data Mining-Based Service Quality Estimation in Hospital Information System2014 IEEE International Conference on Data Mining Workshop10.1109/ICDMW.2014.162(289-295)Online publication date: Dec-2014
https://doi.org/10.1109/ICDMW.2014.162
Kawamura TKimura TTsumoto S(2014)Estimation of Service Quality of a Hospital Information System Using a Service LogThe Review of Socionetwork Strategies10.1007/s12626-014-0044-x8:2(53-68)Online publication date: 11-Dec-2014
https://doi.org/10.1007/s12626-014-0044-x

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Recommendations

Similarity-Profiled Temporal Association Mining

Mining nursing care plan from data extracted from hospital information system

Capturing behavior of medical staff: a similarity-oriented temporal data mining approach