Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements
The AI-driven classifier demonstrates remarkable proficiency in distinguishing between patients with CFS and HC. By leveraging this automated pipeline, beat-to-beat measurements of the ANS can significantly enhance the objective assessment of CFS diagnosis.
Authors
- Joanna Słomko (ORCID: https://orcid.org/0000-0002-8503-3172)
- Sławomir Kujawski (ORCID: https://orcid.org/0000-0001-5186-5037)
- Aleksandra Modlińska (ORCID: https://orcid.org/0000-0003-3425-7202)
- Hanna Tabisz
- Paweł Zalewski
- Karl J. Morten
Institutions
- Medical University of Warsaw (PL)
- John Radcliffe Hospital (GB)
- Nicolaus Copernicus University (PL)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1186/s12967-025-07433-y
- Primary Topic
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00