Erica Tavazzi

University of Padova

Italy

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Articles (13)

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (16)

Diogo Soares

Invited Teaching Assistant

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Olivier Michielin

Geneva University Hospitals (HUG)

SWITZERLAND

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Carlos Fernandez-Llatas

Karolinska Institutet

SWEDEN

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Eduardo Castanho

Guest Assistant Professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

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Barbara Di Camillo

University of Padova

ITALY

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Michel Cuendet

SIB Swiss Institute of Bioinformatics

SWITZERLAND

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Manuela Eicher

Director, Associate Professoir

University of Lausanne, Faculty of Biology and Medicine

SWITZERLAND

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Mar Marcos

Associate Professor

Universitat Jaume I

SPAIN

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Enrico Grisan

Associate Professor in Artificial Intelligence

London South Bank University

UNITED KINGDOM

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Bruno Miranda

University of Lisbon

PORTUGAL

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Mauro Vallati

University of Huddersfield

UNITED KINGDOM

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Sara Madeira

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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LUCIA SACCHI

Associate Professor

University of Pavia

ITALY

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Helena Aidos

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Krisztian Homicsko

Lausanne University Hospital

SWITZERLAND

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Enrico Longato

University of Padua

ITALY

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Erica Tavazzi

Research Interests

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Articles (13)

DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling.

A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population

GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics

Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

Leveraging Process Mining for Modeling Progression Trajectories in Amyotrophic Lateral Sclerosis

Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression.

A differential process mining analysis of COVID-19 management for cancer patients

Eleven quick tips for data cleaning and feature engineering

Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy

What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper.

A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data

Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach

Collaborators (16)

Diogo Soares

Olivier Michielin

Carlos Fernandez-Llatas

Eduardo Castanho

Barbara Di Camillo

Michel Cuendet

Manuela Eicher

Mar Marcos

Enrico Grisan

Bruno Miranda

Mauro Vallati

Sara Madeira

LUCIA SACCHI

Helena Aidos

Krisztian Homicsko

Enrico Longato

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