A Novel Sample-Based Classification Strategy to Decipher the Genetic Similarity of Migraine and Fibromyalgia

Pınar Karadayı Ataş
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Pınar Karadayı Ataş: Faculty of Engineering, Department of Computer Engineering, Istanbul Arel University, Turkey

Biomedical Journal of Scientific & Technical Research, 2024, vol. 54, issue 5, 46486-46495

Abstract: Fibromyalgia and migraine are two complex disorders that significantly impact human health, often leading to chronic pain and a reduced quality of life. The underlying genetic links between these disorders are still not well understood, despite their widespread occurrence. This research is a ground-breaking attempt to clarify the genetic interactions between migraine and fibromyalgia. Our work presents a new methodological strategy by applying a sample-based classification technique that hasn’t been used in this situation before. Through a more nuanced analysis of genetic data, this novel approach provides new insights into the shared genetic landscape of these conditions.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:54:y:2024:i:5:p:46486-46495

DOI: 10.26717/BJSTR.2024.54.008626

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