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Decision Trees: An Overview and Their Use in Medicine

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

DOI 10.1023/a:1016409317640

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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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Authors: Podgorelec, V., Kokol, P., Stiglic, B., & Rozman, I.
Affiliations: University of Maribor (SI)
Corresponding author: Podgorelec, Vili
ORCID: Podgorelec, Vili
Kokol, Peter
Venue: Journal of Medical Systems
Publisher: Springer Science and Business Media LLC
Published: 2002-10
Volume: 26
Issue: 5
Pages: 445-463
ISSN: 0148-5598 (ISSN-L)
1573-689X
DOI: 10.1023/a:1016409317640
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
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
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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Decision Trees: An Overview and Their Use in Medicine

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