Search Results - Khadem, Heydar

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  1. 1
    Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis

    Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis by Nemat, Hoda, Khadem, Heydar, Elliott, Jackie, Benaissa, Mohammed

    Published in Scientific reports
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  2. 2
    Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay

    Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay by Khadem, Heydar, Nemat, Hoda, Elliott, Jackie, Benaissa, Mohammed

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  3. 3
    Blood Glucose Level Time Series Forecasting: Nested Deep Ensemble Learning Lag Fusion

    Blood Glucose Level Time Series Forecasting: Nested Deep Ensemble Learning Lag Fusion by Khadem, Heydar, Nemat, Hoda, Elliott, Jackie, Benaissa, Mohammed

    Published in Bioengineering (Basel)
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  4. 4
    In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics

    In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics by Khadem, Heydar, Nemat, Hoda, Elliott, Jackie, Benaissa, Mohammed

    Published in Heliyon
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  5. 5
    Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective

    Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective by Veisi, Zahra, Khadem, Heydar, Ravanshadi, Samin

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  6. 6
    Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data Fusion

    Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data Fusion by Nemat, Hoda, Khadem, Heydar, Elliott, Jackie, Benaissa, Mohammed

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  7. 7
    Signal fragmentation based feature vector generation in a model agnostic framework with application to glucose quantification using absorption spectroscopy

    Signal fragmentation based feature vector generation in a model agnostic framework with application to glucose quantification using absorption spectroscopy by Khadem, Heydar, Nemat, Hoda, Elliott, Jackie, Benaissa, Mohammed

    Published in Talanta (Oxford)
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  8. 8
    Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach

    Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach by Nemat, Hoda, Khadem, Heydar, Eissa, Mohammad R., Elliott, Jackie, Benaissa, Mohammed

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  9. 9
    Causality analysis in type 1 diabetes mellitus with application to blood glucose level prediction

    Causality analysis in type 1 diabetes mellitus with application to blood glucose level prediction by Nemat, Hoda, Khadem, Heydar, Elliott, Jackie, Benaissa, Mohammed

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  10. 10
    Inactivation of tumor suppressor genes and cancer therapy: An evolutionary game theory approach

    Inactivation of tumor suppressor genes and cancer therapy: An evolutionary game theory approach by Khadem, Heydar, Kebriaei, Hamed, Veisi, Zahra

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  11. 11
    COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework

    COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework by Khadem, Heydar, Nemat, Hoda, Eissa, Mohammad R., Elliott, Jackie, Benaissa, Mohammed

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  12. 12
    Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy

    Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy by Khadem, Heydar, Eissa, Mohammad R., Nemat, Hoda, Alrezj, Osamah, Benaissa, Mohammed

    Published in Talanta (Oxford)
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