Anna Procopio

Orcid: 0000-0002-3639-8714

According to our database1, Anna Procopio authored at least 16 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.
Comput. Methods Programs Biomed., 2025

A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points.
IEEE Access, 2025

2024
Applications of genome-scale metabolic models to the study of human diseases: A systematic review.
Comput. Methods Programs Biomed., 2024

Transmission Delays in Negative Feedback Physiological Systems: The Case of the Muscle Stretch Reflex.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.
Comput. Methods Programs Biomed., October, 2023

Interacting With COVID-19: How Population Behavior, Feedback and Memory Shaped Recurrent Waves of the Epidemic.
IEEE Control. Syst. Lett., 2023

2022
A combined simulation and machine learning approach to classify severity of infarction patients.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021
CBRA: Cardiac biomarkers release analyzer.
Comput. Methods Programs Biomed., 2021

Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

2020
Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction.
IEEE Trans. Control. Syst. Technol., 2020

2019
Mathematical Model of the Release of the cTnT and CK-MB cardiac biomarkers in patients with acute myocardial infarction.
Proceedings of the 17th European Control Conference, 2019

Identification of the infarct time in patients with acute myocardial infarction.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017
Predictive mathematical model of cardiac troponin release following acute myocardial infarction.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

A model of cardiac troponin T release in patient with acute myocardial infarction.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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