Cited by 28Artificial Intelligence in HealthcareData Mining Algorithms and ApplicationsClinical Reasoning and Diagnostic Skills

Improving medical decision trees by combining relevant health-care criteria

López-Vallverdú, Joan Albert, Riaño, David, Bohada, John A.·2012·Expert Systems with Applications

Integrity signals

Registry

Crossref · 10.1016/j.eswa.2012.04.073

Cites

25 of 25 references verified0 citation errors · 0 not checkable

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Cites

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Research works printed but not linked: 1

  1. Chai, X., Deng, L., Yang, Q., & Ling, C. X. (2004). Test-cost sensitive Nayïve Bayesian classification. In Proceedings 4th IEEE international conference on data mining.

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Authors
López-Vallverdú, J. A., Riaño, D., & Bohada, J. A.
Affiliations
Universitat Rovira i Virgili (ES)
Corresponding author
López-Vallverdú, Joan Albert
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2012-10
Volume
39
Issue
14
Pages
11782-11791
ISSN
0957-4174 (ISSN-L)
OpenAlex
W1975273877
Cited by
28
References
24
Citations by year
2026: 1 · 2025: 2 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 1 · 2014: 2 · 2013: 4
FWCI
3.21
Type
journal article
Language
en
Open access
closed
Locations
Expert Systems with Applications (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Keywords
decision tree induction, comprehensibility, correctness, clinical decision support, health screening, diagnosis, physician assessment, multi-criteria decision making

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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