A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach

A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach

Abstract 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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammed S. Al-Samarraay, Aws A. Magableh, Rana I. Mahmood, Shahad Sabbar Joudar, Idrees A. Zahid, Jameel R. Al-Obaidi, Ali Z. Al-Saffar, A. S. Albahri, O. S. Albahri, A. H. Alamoodi, Mohd Faizal Nizam Lee Abdullah
Format: Article
Language:English
Published: Springer 2025-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Alopecia
Biomarkers
Fuzzy
Multi-criteria decision-making
Prioritization
Triage process
Online Access:https://doi.org/10.1007/s44196-025-00887-4
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items