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Publications

Publications

  • AI4CDI: Introducing a novel machine learning approach to demonstrate feasibility of timely and early identification of at-risk populations for Clostridioides difficile infections
    Anastasia Karatzia, Danai Aristeridou, Wawi Kantz, A. Carmine Colavecchia, Harish Madhava, Mohammad Ateya, Carole Czudek, Patrick H. Kelly, Kate Halsby
    Anaerobe · Jun, 2025
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  • Validation, bias assessment, and optimization of the UNAFIED two-year risk prediction model for undiagnosed atrial fibrillation using national electronic health data
    Mohammad Ateya, Danai Aristeridou, George H. Sands, Jessica Zielinski, Randall W. Grout, A. Carmine Colavecchia, Oussama Wazni, Saira N. Haque Heart Rhythm O2 · Sep 26, 2024
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  • Use of Machine Learning and Statistical Inference Methods for Identification of Risk Factors Associated with Atrial Fibrillation in Indian Patients: A Real-World Retrospective Study
    Namrata Kulkarni, Santosh Taur, Danai Aristeridou, Salil Shinde, Konstantinos Spyridopoulos, Ahsan Huda, Sonali Dighe
    JMIR Cardio · Jun 26, 2024
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  • Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk Management
    Maria Kritharidou, Georgios Chrysogonidi, Tasos Ventouris, Vaios Tsarapastsanis, Danai Aristeridou, Anastasia Karatzia, Veena Calambur, Ahsan Huda, Sabrina Hsueh
    AMIA Symposium 2023 · Dec 1, 2023
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  • An analytic approach to uncover the patient journey to diagnosis
    Danai Aristeridou, Mohammad Ateya, Konstantinos Spyridopoulos, Saira Haque, Anastasia Karatzia
    AMIA Symposium 2023 · Dec 1, 2023
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  • Improving early diagnosis of primary immunodeficiencies by learning causal clinical history
    AMIA Symposium 2023 · Dec 1, 2023
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  • Validation of a Two-year Risk Prediction Model for Undiagnosed Atrial Fibrillation Using National Electronic Health Record Data
    Danai Aristeridou et al
    AMIA Symposium 2022 · Nov 30, 2023
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