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Medicina (Kaunas, Lithuania)
|
March 27, 2025
Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence
Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Pharmaceuticals (Basel, Switzerland)
|
July 30, 2025
Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer Therapy
Fatma Hilal Yagin, Yasin Gormez, Cemil Colak, et al.
Heliyon
|
November 18, 2024
Utilizing machine learning algorithms for task allocation in distributed agile software development
Dimah Al-Fraihat, Yousef Sharrab, Abdel-Rahman Al-Ghuwairi, et al.
Medicina (Kaunas, Lithuania)
|
April 26, 2025
Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Cancer Detection
Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Sensors (Basel, Switzerland)
|
June 19, 2024
Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings
Habibullah Safi, Ali Imran Jehangiri, Zulfiqar Ahmad, et al.
Journal of Clinical Medicine
|
September 14, 2024
Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach
Fatma Hilal Yagin, Umran Aygun, Abdulmohsen Algarni, et al.
Diagnostics (Basel, Switzerland)
|
September 28, 2024
Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence
Fatma Hilal Yagin, Radwa El Shawi, Abdulmohsen Algarni, et al.
Frontiers in Endocrinology
|
November 26, 2024
Enhancing type 2 diabetes mellitus prediction by integrating metabolomics and tree-based boosting approaches
Ahmet Kadir Arslan, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Healthcare (Basel, Switzerland)
|
November 14, 2023
Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
Zain Shaukat, Wisal Zafar, Waqas Ahmad, et al.
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Showing results (11-20 of 19) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 19 results.
Medicina (Kaunas, Lithuania)
|
March 27, 2025
Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence
Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Pharmaceuticals (Basel, Switzerland)
|
July 30, 2025
Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer Therapy
Fatma Hilal Yagin, Yasin Gormez, Cemil Colak, et al.
Heliyon
|
November 18, 2024
Utilizing machine learning algorithms for task allocation in distributed agile software development
Dimah Al-Fraihat, Yousef Sharrab, Abdel-Rahman Al-Ghuwairi, et al.
Medicina (Kaunas, Lithuania)
|
April 26, 2025
Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Cancer Detection
Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Sensors (Basel, Switzerland)
|
June 19, 2024
Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings
Habibullah Safi, Ali Imran Jehangiri, Zulfiqar Ahmad, et al.
Journal of Clinical Medicine
|
September 14, 2024
Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach
Fatma Hilal Yagin, Umran Aygun, Abdulmohsen Algarni, et al.
Diagnostics (Basel, Switzerland)
|
September 28, 2024
Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence
Fatma Hilal Yagin, Radwa El Shawi, Abdulmohsen Algarni, et al.
Frontiers in Endocrinology
|
November 26, 2024
Enhancing type 2 diabetes mellitus prediction by integrating metabolomics and tree-based boosting approaches
Ahmet Kadir Arslan, Fatma Hilal Yagin, Abdulmohsen Algarni, et al.
Healthcare (Basel, Switzerland)
|
November 14, 2023
Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
Zain Shaukat, Wisal Zafar, Waqas Ahmad, et al.
Page
of 2