Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Erica Tavazzi

University of Padova

Italy

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

LinkedIn ORCID

Google Scholar

Academic Page

Research Interests

Computational Neuroscience

30%

Biostatistics

40%

Process Mining

40%

Neurodegenerative Disease

30%

Clinical Application

30%

Neuroplasticity

30%

Text Analytics

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles13

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

Article Link

Year:

2024

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

Article Link

Year:

2024

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

Article Link

Year:

2024

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

Article Link

Year:

2024

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

Article Link

Year:

2023

Leveraging Process Mining for Modeling Progression Trajectories in Amyotrophic Lateral Sclerosis

Article Link

Year:

2023

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

Article Link

Year:

2022

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

Article Link

Year:

2022

Eleven quick tips for data cleaning and feature engineering

Article Link

Year:

2022

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

Article Link

Year:

2021

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

Article Link

Year:

2020

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

Article Link

Year:

2020

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

Article Link

Year:

2020

Collaborators16

Diogo Soares

Invited Teaching Assistant

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

Olivier Michielin

Geneva University Hospitals (HUG)

SWITZERLAND

Carlos Fernandez-Llatas

Karolinska Institutet

SWEDEN

Eduardo Castanho

Guest Assistant Professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

Barbara Di Camillo

University of Padova

ITALY

Michel Cuendet

SIB Swiss Institute of Bioinformatics

SWITZERLAND

Manuela Eicher

Director, Associate Professoir

University of Lausanne, Faculty of Biology and Medicine

SWITZERLAND

Mar Marcos

Associate Professor

Universitat Jaume I

SPAIN

Enrico Grisan

Associate Professor in Artificial Intelligence

London South Bank University

UNITED KINGDOM

Bruno Miranda

University of Lisbon

PORTUGAL

Mauro Vallati

University of Huddersfield

UNITED KINGDOM

Sara Madeira

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

LUCIA SACCHI

Associate Professor

University of Pavia

ITALY

Helena Aidos

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

Krisztian Homicsko

Lausanne University Hospital

SWITZERLAND

Enrico Longato

University of Padua

ITALY

How do I reach out?

Meet Kite AI