Search Results - "Colak, Cemil"

A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era.

Authors: Zorlu, Gokhan Colak, Cemil

Source: Diagnostics (2075-4418). Jul2026, Vol. 16 Issue 13, p1996. 29p.

Leveraging Explainable Automated Machine Learning (AutoML) and Metabolomics for Robust Diagnosis and Pathophysiological Insights in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Authors: Yagin, Fatma Hilal Colak, Cemil Al-Hashem, Fahaid et al.

Source: Diagnostics (2075-4418). Nov2025, Vol. 15 Issue 21, p2755. 15p.

Federated Learning Approach in Medicine: Enhancing Privacy and Model Quality: A Narrative Review.

Alternate Title: Tıpta Birleşik Öğrenme Yaklaşımı: Gizliliğin ve Model Kalitesinin Artırılması: Anlatısal Bir Derleme.

Authors: Colak, Cemil Tetik, Burcu Kayhan

Source: Konuralp Medical Journal / Konuralp Tip Dergisi. eki2025, Vol. 17 Issue 3, p331-335. 5p.

Explainable boosting machine approach to identifying risk factors for Parkinson's disease.

Authors: Arslan, Ahmet Kadir Colak, Cemil

Source: Annals of Medical Research. Sep2024, Vol. 31 Issue 9, p735-740. 6p.

Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy.

Authors: Yagin, Fatma Hilal Colak, Cemil Algarni, Abdulmohsen et al.

Source: Diagnostics (2075-4418). Jul2024, Vol. 14 Issue 13, p1364. 15p.

Next-Generation Healthcare: Artificial Intelligence Applications in Disease Management.

Authors: Akbulut, Sami Colak, Cemil

Source: Diagnostics (2075-4418). Jun2024, Vol. 14 Issue 11, p1087. 4p.

Nephrotoxicity Development of a Clinical Decision Support System Based on Tree-Based Machine Learning Methods to Detect Diagnostic Biomarkers from Genomic Data in Methotrexate-Induced Rats.

Authors: Balikci Cicek, Ipek Colak, Cemil Yologlu, Saim et al.

Source: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 15, p8870, 18p

Modeling Based on Ensemble Learning Methods for Detection of Diagnostic Biomarkers from LncRNA Data in Rats Treated with Cis-Platinum-Induced Hepatotoxicity.

Authors: Kucukakcali, Zeynep Colak, Cemil Gozukara Bag, Harika Gozde et al.

Source: Diagnostics (2075-4418). May2023, Vol. 13 Issue 9, p1583. 15p.

Metabolomic Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome via Explainable Ensemble Learning and Pareto-Guided Feature Selection.

Authors: Yagin, Fatma Hilal Korkmaz, Yavuz Colak, Cemil et al.

Source: International Journal of Molecular Sciences. Jul2026, Vol. 27 Issue 13, p5920. 20p.

Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability.

Authors: Yagin, Fatma Hilal Korkmaz, Yavuz Colak, Cemil et al.

Source: International Journal of Molecular Sciences. Jun2026, Vol. 27 Issue 12, p5451. 17p.

Estimation of Obesity Levels with a Trained Neural Network Approach optimized by the Bayesian Technique.

Authors: Yagin, Fatma Hilal Gülü, Mehmet Gormez, Yasin et al.

Source: Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 6, p3875, 14p

Prediction of breast cancer subtypes based on proteomic data with deep learning.

Authors: Yasar, Seyma Colak, Cemil Yologlu, Saim

Source: Annals of Medical Research. Oct2020, Vol. 27 Issue 10, p2803-2806. 4p.

Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.

Authors: Yagin, Fatma Hilal Inceoglu, Feyza Colak, Cemil et al.

Source: Pharmaceuticals (14248247). Nov2025, Vol. 18 Issue 11, p1659. 14p.

Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome.

Authors: Yagin, Fatma Hilal Shateri, Ahmadreza Nasiri, Hamid et al.

Source: PeerJ Computer Science; Mar2024, p1-22, 22p

Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer Therapy.

Authors: Yagin, Fatma Hilal Gormez, Yasin Colak, Cemil et al.

Source: Pharmaceuticals (14248247). Jul2025, Vol. 18 Issue 7, p975. 18p.

Evaluating Ensemble-Based Machine Learning Models for Diagnosing Pediatric Acute Appendicitis: Insights from a Retrospective Observational Study.

Authors: Kucukakcali, Zeynep Akbulut, Sami Colak, Cemil

Source: Journal of Clinical Medicine. Jun2025, Vol. 14 Issue 12, p4264. 18p.

Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods.

Alternate Title: التنبؤ بمستوی الكولیسترول فی الدم فی المرضی الذین یعانون من احتشاء عضلة القلب علی اساس اسالیب تلغیم البیانات الطبیة

Authors: Colak, Cemil Colak, Mehmet C. Ermis, Necip et al.

Source: Kuwait Journal of Science. 2016, Vol. 43 Issue 3, p86-90. 5p.

This result is not displayed to guests.
Login for full access.

BERNSTEIN POLYNOMIAL APPROACH AGAINST TO SOME FREQUENTLY USED GROWTH CURVE MODELS ON ANIMAL DATA.

Authors: Gürcan, Mehmet Colak, Cemil Orman, Mehmet N.

Source: Pakistan Journal of Statistics. 2011, Vol. 27 Issue 3, p509-516. 8p. 2 Charts, 1 Graph.

BERNSTEIN POLYNOMIAL APPROACH AGAINST TO SOME FREQUENTLY USED GROWTH CURVE MODELS ON ANIMAL DATA.

Authors: Gürcan, Mehmet Colak, Cemil Orman, Mehmet N.

Source: Pakistan Journal of Statistics. 2010, Vol. 26 Issue 3, p509-516. 8p. 2 Charts, 1 Graph.