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Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning

6 affiliations
  1. 1Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan; (G.A.-T.); (S.S.)
  2. 2Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid 22110, Jordan
  3. 3Faculty of Pharmacy, Department of Medicinal Chemistry and Pharmacognosy, Yarmouk University, Irbid 21163, Jordan
  4. 4Independent Researcher, Irbid 21110, Jordan
  5. 5Department of Pharmacy Practice, Pharmacy college, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
  6. 6Biomedical Systems and Informatics Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan

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BibTeX
@article{berdaweel2026noninvasive,
  title = {{Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning}},
  author = {Islam A. Berdaweel and Sayer I. Al-Azzam and Ghaith Al-Taani and Amal Albawaana and Salam Shannag and Ameera M. Bataineh and Sireen Abdul Rahim Shilbayeh and Amjed Al Fahoum},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13663970},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning
AU  - Islam A. Berdaweel
AU  - Sayer I. Al-Azzam
AU  - Ghaith Al-Taani
AU  - Amal Albawaana
AU  - Salam Shannag
AU  - Ameera M. Bataineh
AU  - Sireen Abdul Rahim Shilbayeh
AU  - Amjed Al Fahoum
PY  - 2026
DA  - 2026/09/22
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13663970
SN  - 2075-4418
ER  -