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Cited by 207Fuzzy Logic and Control SystemsAdvanced Algebra and LogicArtificial Intelligence in Healthcare

Fuzzy logic in medicine and bioinformatics

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Torres, Angela, Nieto, Juan J.·2006·BioMed Research International
DOI 10.1155/jbb/2006/91908PMC PMC1559939
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Abstract

The purpose of this paper is to present a general view of the current applications of fuzzy logic in medicine and bioinformatics. We particularly review the medical literature using fuzzy logic. We then recall the geometrical interpretation of fuzzy sets as points in a fuzzy hypercube and present two concrete illustrations in medicine (drug addictions) and in bioinformatics (comparison of genomes).

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  • Fuzzy logic systems allow for expert rule-based reasoning that accommodates uncertainty and vagueness, which are common characteristics in psychiatric data.

    “Fuzzy logic systems, by contrast, allow for expert rule-based reasoning that accommodates uncertainty and vagueness which are common characteristics in psychiatric data”

    From A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support (2025) · cites this paper as Torres and Nieto, 2006

    The Introduction says fuzzy logic handles uncertainty and vague medical descriptions, and “Fuzzy Logic in Medicine” notes imprecise patient information and difficult classification of mental disorders. Our copy does not describe expert rule-based reasoning, so that part of the claim is unsupported. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • Fuzzy logic provides a formal framework to model uncertainty and expert knowledge, which is especially valuable in psychiatric decision-making.

    “Fuzzy logic, by contrast, provides a formal framework to model uncertainty and expert knowledge, which is especially valuable in psychiatric decision-making (Torres and Nieto, 2006).”

    From A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support (2025) · cites this paper as Torres and Nieto, 2006

    The Introduction describes fuzzy logic as a formalism for medical uncertainty, and the Drug Addictions section describes an expert assigning fuzzy degrees of addiction. The Fuzzy Logic in Medicine section notes difficulties classifying mental disorders and lists related applications, but does not establish that fuzzy logic is especially valuable in psychiatric decision-making. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Cited by

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Authors
Torres, A., & Nieto, J. J.
Affiliations
Universidade de Santiago de Compostela (ES)
Corresponding author
Nieto, Juan J.
ORCID
Nieto, Juan J.
Venue
BioMed Research International
Publisher
Wiley
Published
2006-01
Volume
2006
Issue
1
Pages
91908-91908
ISSN
  • 1110-7243 (ISSN-L)
  • 2314-6133
  • 2314-6141
DOI
10.1155/jbb/2006/91908
PMC
PMC1559939
OpenAlex
W2002317457
Cited by
207
References
1
Citations by year
2026: 5 · 2025: 12 · 2024: 8 · 2023: 29 · 2022: 12 · 2021: 9 · 2020: 11 · 2019: 12 · 2018: 7 · 2017: 6 · 2016: 11 · 2015: 18 · 2014: 10 · 2013: 13 · 2012: 7
FWCI
7.23
Type
journal article
Language
en
Open access
Licence
Locations
  • BioMed Research International (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • European fund for regional development (MTM2004–06652–C03–01)
  • Ministerio de Educación y Ciencia (MTM2004–06652–C03–01)
  • Xunta de Galicia (MTM2004–06652–C03–01)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Algebra and Logic
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
fuzzy logic, fuzzy sets, bioinformatics applications, drug addiction, comparative genomics

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