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Luca Romeo

Showing results (21-30 of 27) with videos related to

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IEEE Journal of Translational Engineering in Health and Medicine|November 5, 2020
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data SharingEmanuele Frontoni, Luca Romeo, Michele Bernardini, et al.
Diabetes Research and Clinical Practice|July 23, 2022
Prediction of complications of type 2 Diabetes: A Machine learning approachAntonio Nicolucci, Luca Romeo, Michele Bernardini, et al.
Sensors (Basel, Switzerland)|July 19, 2018
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental ValidationAndrea Monteriù, Mario Rosario Prist, Emanuele Frontoni, et al.
Journal of Clinical Monitoring and Computing|April 4, 2024
Algor-ethics: charting the ethical path for AI in critical careJonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, et al.
Diabetes Research and Clinical Practice|September 15, 2025
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes careAntonio Nicolucci, Giacomo Vespasiani, Domenico Mannino, et al.
Journal of Intensive Medicine|February 14, 2023
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patientsJonathan Montomoli, Luca Romeo, Sara Moccia, et al.
IEEE Internet of Things Journal|July 5, 2022
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better WorldFarshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, et al.
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Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
IEEE Journal of Translational Engineering in Health and Medicine|November 5, 2020
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data SharingEmanuele Frontoni, Luca Romeo, Michele Bernardini, et al.
Diabetes Research and Clinical Practice|July 23, 2022
Prediction of complications of type 2 Diabetes: A Machine learning approachAntonio Nicolucci, Luca Romeo, Michele Bernardini, et al.
Sensors (Basel, Switzerland)|July 19, 2018
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental ValidationAndrea Monteriù, Mario Rosario Prist, Emanuele Frontoni, et al.
Journal of Clinical Monitoring and Computing|April 4, 2024
Algor-ethics: charting the ethical path for AI in critical careJonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, et al.
Diabetes Research and Clinical Practice|September 15, 2025
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes careAntonio Nicolucci, Giacomo Vespasiani, Domenico Mannino, et al.
Journal of Intensive Medicine|February 14, 2023
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patientsJonathan Montomoli, Luca Romeo, Sara Moccia, et al.
IEEE Internet of Things Journal|July 5, 2022
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better WorldFarshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, et al.
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