Cited by 736Artificial Intelligence in HealthcareData Mining Algorithms and ApplicationsData Mining and Machine Learning Applications

Decision trees: An overview and their use in medicine

Podgorelec, Vili, Kokol, Peter, Stiglic, Bruno, Rozman, Ivan·2002·Journal of Medical Systems

Abstract

In medical decision making (classification, diagnosing, etc.) there are many situations where decision must be made effectively and reliably. Conceptual simple decision making models with the possibility of automatic learning are the most appropriate for performing such tasks. Decision trees are a reliable and effective decision making technique that provide high classification accuracy with a simple representation of gathered knowledge and they have been used in different areas of medical decision making. In the paper we present the basic characteristics of decision trees and the successful alternatives to the traditional induction approach with the emphasis on existing and possible future applications in medicine.

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Crossref · 10.1023/a:1016409317640

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Authors
Podgorelec, V., Kokol, P., Stiglic, B., & Rozman, I.
Affiliations
University of Maribor (SI)
Corresponding author
Podgorelec, Vili
Venue
Journal of Medical Systems
Published
2002-10
Volume
26
Issue
5
Pages
445-463
ISSN
  • 0148-5598 (ISSN-L)
  • 1573-689X
OpenAlex
W1584935767
Cited by
736
References
44
Citations by year
2026: 39 · 2025: 83 · 2024: 76 · 2023: 80 · 2022: 62 · 2021: 64 · 2020: 48 · 2019: 46 · 2018: 36 · 2017: 26 · 2016: 21 · 2015: 29 · 2014: 25 · 2013: 24 · 2012: 20
FWCI
6.93
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Medical Systems (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
Keywords
decision tree, clinical decision-making, diagnosis, classification, knowledge representation, inductive learning, machine learning in medicine
MeSH terms
Decision Trees, Humans, United States, Clinical Medicine, Decision Support Systems, Clinical

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