Enrico Longato

University of Padua

Italy

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Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

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2022

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2021

Year:

2021

Collaborators (10)

Diogo Soares

Invited Teaching Assistant

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Andrea Manca

Professor of Health Economics

University of York

UNITED KINGDOM

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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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Erica Tavazzi

University of Padova

ITALY

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Bruno Miranda

University of Lisbon

PORTUGAL

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Sara Madeira

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Radosław Lenarczyk

professor

Medical University of Silesia

POLAND

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Helena Aidos

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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GIAN PAOLO FADINI

Full Professor

University of Padova

ITALY

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Enrico Longato

Research Interests

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Articles (10)

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes

Comparative renal outcomes of matched cohorts of patients with type 2 diabetes receiving SGLT2 inhibitors or GLP-1 receptor agonists under routine care

Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts

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

Management of type 2 diabetes with a treat-to-benefit approach improved long-term cardiovascular outcomes under routine care

Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes

Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims

Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis

A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From Administrative Claims

Cardiovascular effectiveness of human-based vs. exendin-based glucagon like peptide-1 receptor agonists: a retrospective study in patients with type 2 diabetes

Collaborators (10)

Diogo Soares

Andrea Manca

Eduardo Castanho

Barbara Di Camillo

Erica Tavazzi

Bruno Miranda

Sara Madeira

Radosław Lenarczyk

Helena Aidos

GIAN PAOLO FADINI

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