Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications
Fuzzy logic systems show potential as a transparent alternative to neural network-based machine learning for outcome prediction and diagnosis in respiratory medicine. However, clinical implementation is limited by frequent methodological limitations. Future research requires prospective validation studies and standardised reporting before fuzzy logic can enhance respiratory medicine.
Authors
- Sherif Gonem (ORCID: https://orcid.org/0000-0002-6080-2246)
- Ilze Bogdanovica (ORCID: https://orcid.org/0000-0002-2662-6293)
- Troy Kettle
- Tricia M. McKeever
- Graziella Figueredo
Institutions
- Nottingham University Hospitals NHS Trust (GB)
- University of Nottingham (GB)
- Nottingham Biomedical Research Centre (GB)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2026-02-15
- DOI
- https://doi.org/10.1016/j.ijmedinf.2026.106347
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00