A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
Androgenetic alopecia (AGA) is a common cause of hair loss affecting both men and women. Although its precise etiology remains uncertain, genetic and hormonal factors are recognized as major contributors. This study introduces a computational intelligence framework employing fuzzy logic and multi-criteria decision-making (MCDM) to simulate a robust triage system for AGA management. Using a simulated dataset of 100 AGA patients, we applied the fuzzy-weighted zero-inconsistency (FWZIC) method to assign weights to 11 bioactive criteria associated with AGA. These weights informed a novel triage procedure for alopecia patients (TPAP), which stratified patients into seven severity levels (level 1: minor; level 7: severe). This study presents a computationally intelligent triage model tailored for AGA, emphasizing the applicability of fuzzy MCDM techniques in medical decision support. The TPAP framework can assist in resource allocation and treatment planning, paving the way for personalized and timely interventions in hair loss management.
Authors
- Raja Azlina Raja Mahmood (ORCID: https://orcid.org/0000-0002-1169-4226)
- A. S. Albahri (ORCID: https://orcid.org/0000-0003-3335-457X)
- Shahad Sabbar Joudar
- Ali Z. Al‐Saffar (ORCID: https://orcid.org/0000-0001-6398-2193)
- A. H. Alamoodi (ORCID: https://orcid.org/0000-0003-4393-5570)
- Mohammed S. Al-Samarraay (ORCID: https://orcid.org/0000-0002-4684-2970)
- Aws A. Magableh (ORCID: https://orcid.org/0000-0003-4513-6430)
- Jameel R. Al‐Obaidi (ORCID: https://orcid.org/0000-0002-5705-0223)
- Idrees A. Zahid (ORCID: https://orcid.org/0000-0002-7784-8216)
Institutions
- Prince Sultan University (SA)
- Sultan Idris Education University (MY)
- Applied Science Private University (JO)
- Mustansiriyah University (IQ)
- University of Technology - Iraq (IQ)
- Gulf University for Science & Technology (KW)
- Imam Sadiq University (IR)
- University of Information Technology and Communications (IQ)
- Mazaya University College
- Nahrain University (IQ)
- Gulf University (RS)
- Victoria University (AU)
- Yarmouk University (JO)
Publication Details
- Journal
- International Journal of Computational Intelligence Systems
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1007/s44196-025-00887-4
- Primary Topic
- RNA regulation and disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universiti Pendidikan Sultan Idris
- Prince Sultan University