Alessandro Guazzo

Orcid: 0000-0001-5155-2567

According to our database1, Alessandro Guazzo authored at least 21 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
BMC Medical Informatics Decis. Mak., December, 2024

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR, 2024

Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024



Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin.
IEEE Trans. Biomed. Eng., September, 2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023

DAVI: A Dataset for Automatic Variant Interpretation.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023



2022
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022


Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Learned Primal Dual Reconstruction for PET.
J. Imaging, 2021

Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021


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