Health Informatics and Data Science

Ibrahim Karabayir

  • Education
    • Istanbul University, Ph.D.               


    • Network Analysis of Postoperative Surgical Complications in a Cohort of Children Reported to the National Surgical Quality Improvement Program: Pediatric Ibrahim Karabayir Annals of Surgery 2020
    • Application of machine learning to the prediction of postoperative sepsis after appendectomy Ibrahim Karabayir Surgery 2020
    • Gradient boosting for Parkinson's disease diagnosis from voice recordings Ibrahim Karabayir BMC MEDICAL INFORMATICS AND DECISION MAKING 2020
    • Machine learning analysis on American Gut Project microbiome data to identify subjects with cancer both with and without chemotherapy exposure. Ibrahim Karabayir Journal of Clinical Oncology 2020
    • Deep learning for improved prediction of late-onset cardiomyopathy among childhood cancer survivors: A report from the St. Jude Lifetime Cohort (SJLIFE). Ibrahim Karabayir Journal of Clinical Oncology 2020
    • A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO). Ibrahim Karabayir IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2020
    • Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age Ibrahim Karabayir FASEB 2019
    • Machine Learning to Identify Dialysis Patients at High Death Risk Ibrahim Karabayir KIDNEY INTERNATIONAL REPORTS 2019
    • On some inequalities for functions whose absolute values of the second derivatives are alpha-, m-, (alpha, m)-logarithmically convex Ibrahim Karabayir GEORGIAN MATHEMATICAL JOURNAL 2015