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Erica Tavazzi

Showing results (11-20 of 18) with videos related to

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BMC Medical Informatics and Decision Making|October 30, 2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility studyAlessandro Guazzo, Michele Atzeni, Elena Idi, et al.
Frontiers in Oncology|March 18, 2026
Correction: A differential process mining analysis of COVID-19 management for cancer patientsMichel A Cuendet, Roberto Gatta, Alexandre Wicky, et al.
Journal of Neurology|March 10, 2022
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progressionErica Tavazzi, Sebastian Daberdaku, Alessandro Zandonà, et al.
Frontiers in Oncology|December 26, 2022
A differential process mining analysis of COVID-19 management for cancer patientsMichel A Cuendet, Roberto Gatta, Alexandre Wicky, et al.
International Journal of Environmental Research and Public Health|September 16, 2020
What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position PaperRoberto Gatta, Mauro Vallati, Carlos Fernandez-Llatas, et al.
Studies in Health Technology and Informatics|May 23, 2026
Environmental Personal Exposure Clusters to Investigate Multiple Sclerosis and Amyotrophic Lateral Sclerosis ProgressionPietro Bosoni, Mahin Vazifehdan, Helena Aidos, et al.
Artificial Intelligence in Medicine|June 14, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic reviewErica Tavazzi, Enrico Longato, Martina Vettoretti, et al.
Scientific Data|November 21, 2025
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression ModelingGuglielmo Faggioli, Laura Menotti, Stefano Marchesin, et al.
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Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
BMC Medical Informatics and Decision Making|October 30, 2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility studyAlessandro Guazzo, Michele Atzeni, Elena Idi, et al.
Frontiers in Oncology|March 18, 2026
Correction: A differential process mining analysis of COVID-19 management for cancer patientsMichel A Cuendet, Roberto Gatta, Alexandre Wicky, et al.
Journal of Neurology|March 10, 2022
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progressionErica Tavazzi, Sebastian Daberdaku, Alessandro Zandonà, et al.
Frontiers in Oncology|December 26, 2022
A differential process mining analysis of COVID-19 management for cancer patientsMichel A Cuendet, Roberto Gatta, Alexandre Wicky, et al.
International Journal of Environmental Research and Public Health|September 16, 2020
What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position PaperRoberto Gatta, Mauro Vallati, Carlos Fernandez-Llatas, et al.
Studies in Health Technology and Informatics|May 23, 2026
Environmental Personal Exposure Clusters to Investigate Multiple Sclerosis and Amyotrophic Lateral Sclerosis ProgressionPietro Bosoni, Mahin Vazifehdan, Helena Aidos, et al.
Artificial Intelligence in Medicine|June 14, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic reviewErica Tavazzi, Enrico Longato, Martina Vettoretti, et al.
Scientific Data|November 21, 2025
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression ModelingGuglielmo Faggioli, Laura Menotti, Stefano Marchesin, et al.
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