Developing treatment plan support in outpatient health care delivery with decision trees technique

Shahriyah Nyak Saad Ali, Ahmad Mahir Razali, Azuraliza Abu Bakar, Nur Riza Mohd. Suradi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents treatment plan support (TPS) development with the aim to support treatment decision making for physicians during outpatient-care giving to patients. Evidence-based clinical data from system database was used. The TPS predictive modeling was generated using decision trees technique, which incorporated predictor variables: patient's age, gender, racial, marital status, occupation, visit complaint, clinical diagnosis and final diagnosed diseases; while dependent variable: treatment by drug, laboratory, imaging and/or procedure. Six common diseases which are coded as J02.9, J03.9, J06.9, J30.4, M62.6 and N39.0 in the International Classification of Diseases 10th Revision (ICD-10) by World Health Organization were selected as prototypes for this study. The good performance scores from experimental results indicate that this study can be used as guidance in developing support specifically on treatment plan in outpatient health care delivery.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages475-482
Number of pages8
Volume6441 LNAI
EditionPART 2
DOIs
Publication statusPublished - 2010
Event6th International Conference on Advanced Data Mining and Applications, ADMA 2010 - Chongqing
Duration: 19 Nov 201021 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6441 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Advanced Data Mining and Applications, ADMA 2010
CityChongqing
Period19/11/1021/11/10

Fingerprint

Decision trees
Health care
Decision tree
Healthcare
Predictive Modeling
Decision making
Health
Imaging techniques
Database Systems
Guidance
Predictors
Drugs
Decision Making
Imaging
Prototype
Dependent
Experimental Results

Keywords

  • Continuous quality improvement
  • Treatment equity
  • User acceptance

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ali, S. N. S., Razali, A. M., Abu Bakar, A., & Mohd. Suradi, N. R. (2010). Developing treatment plan support in outpatient health care delivery with decision trees technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6441 LNAI, pp. 475-482). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-17313-4_47

Developing treatment plan support in outpatient health care delivery with decision trees technique. / Ali, Shahriyah Nyak Saad; Razali, Ahmad Mahir; Abu Bakar, Azuraliza; Mohd. Suradi, Nur Riza.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6441 LNAI PART 2. ed. 2010. p. 475-482 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali, SNS, Razali, AM, Abu Bakar, A & Mohd. Suradi, NR 2010, Developing treatment plan support in outpatient health care delivery with decision trees technique. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6441 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6441 LNAI, pp. 475-482, 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, Chongqing, 19/11/10. https://doi.org/10.1007/978-3-642-17313-4_47
Ali SNS, Razali AM, Abu Bakar A, Mohd. Suradi NR. Developing treatment plan support in outpatient health care delivery with decision trees technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6441 LNAI. 2010. p. 475-482. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-17313-4_47
Ali, Shahriyah Nyak Saad ; Razali, Ahmad Mahir ; Abu Bakar, Azuraliza ; Mohd. Suradi, Nur Riza. / Developing treatment plan support in outpatient health care delivery with decision trees technique. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6441 LNAI PART 2. ed. 2010. pp. 475-482 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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