Erica Tavazzi
Università degli Studi di Padova
H-index: 9
Europe-Italy
Top articles of Erica Tavazzi
IIS Registry Grant Modelling Inflammatory Bowel Diseases trajectories combining dynamic, multifactorial, Artificial Intelligence-based approaches
Journal of Crohn's and Colitis
2024/1/1
GEN-RWD Sandbox: Bridging the Gap Between Hospital Data Privacy and External Research Insights with Distributed Analytics
2023/12/29
Method for determining a disease progression and survival prognosis for patients with amyotrophic lateral sclerosis
2023/9/14
Intelligent Disease Progression Prediction: Overview of iDPP@ CLEF 2023
2023/9/11
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
2023/6/5
Enrico Longato
H-Index: 7
Erica Tavazzi
H-Index: 3
Giovanni Sparacino
H-Index: 30
Barbara Di Camillo
H-Index: 23
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
2023/5/20
Predicting clinical outcomes of amyotrophic lateral sclerosis progression using logistic regression and deep-learning multilayer perceptron approaches
2023
GEN-RWD Sandbox: A Modular Architecture for Privacy-preserving Data Sharing for AI-driven Medical Research
2023
Development of predictive models for short-term prediction of disability progression in multiple sclerosis
2023
Identifying Extreme Profiles in Amyotrophic Lateral Sclerosis Patients at Diagnosis through Archetypal Analysis
2023
Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge
CEUR WORKSHOP PROCEEDINGS
2023
Baseline machine learning approaches to predict multiple sclerosis disease progression
CLEF
2023
Eleven quick tips for data cleaning and feature engineering
PLOS Computational Biology
2022/12/15
A differential process mining analysis of COVID-19 management for cancer patients
Frontiers in Oncology
2022/12/7
Erica Tavazzi
H-Index: 3
Computational Intelligence Methods for Bioinformatics and Biostatistics: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers
2020/12/9
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis
BMC Medical Informatics and Decision Making
2022/11
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression
Journal of neurology
2022/7
Erica Tavazzi
H-Index: 3
Enrico Grisan
H-Index: 19
Cristina Moglia
H-Index: 33
Barbara Di Camillo
H-Index: 23
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression
CLEF - Notebook for the iDPP Lab on Intelligent Disease Progression Prediction at CLEF 2022
2022
pMinShiny: a Graphical User Interface for Process Mining in Healthcare
2022
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis by using Process Mining: a Pilot Study
2022
Co-Authors
