Machine learning in clinical and epidemiological research: isn't it time for biostatisticians to work on it?

Danila Azzolina; Ileana Baldi (University of Padova); Giulia Barbati; Paola Berchialla; Daniele  Bottigliengo; Andrea Bucci; Stefano  Calza; Pasquale  Dolce; Valeria  Edefonti; Andrea  Faragalli (; Giovanni Fiorito; Ilaria  Gandin; Fabiola  Giudici; Dario Gregori; Caterina  Gregorio; Francesca  Ieva; Corrado  Lanera; Giulia Lorenzoni; Michele Marchioni; Alberto  Milanese; Andrea  Ricotti; Veronica  Sciannameo; Giuliana Solinas; Marika Vezzoli

doi:10.2427/13245

Machine learning in clinical and epidemiological research: isn't it time for biostatisticians to work on it?

Authors

Danila Azzolina University of Piemonte Orientale
Ileana Baldi (University of Padova) University of Padova
Giulia Barbati University of Trieste
Paola Berchialla University of Torino
Daniele Bottigliengo University of Padova
Andrea Bucci Marche Polytechnic University
Stefano Calza University of Brescia
Pasquale Dolce University of Napoli Federico II
Valeria Edefonti University of Milan
Andrea Faragalli ( Marche Polytechnic University
Giovanni Fiorito University of Sassari
Ilaria Gandin Area Science Park, Trieste
Fabiola Giudici University of Padova
Dario Gregori University of Padova
Caterina Gregorio University of Padova
Francesca Ieva Polytechnic of Milano
Corrado Lanera University of Padova
Giulia Lorenzoni University of Padova
Michele Marchioni University of Chieti-Pescara
Alberto Milanese University of Rome, La Sapienza
Andrea Ricotti University of Torino
Veronica Sciannameo University of Padova
Giuliana Solinas University of Sassari
Marika Vezzoli University of Brescia

DOI:

https://doi.org/10.2427/13245

Abstract

In recent years, there has been a widespread cross-fertilization between Medical Statistics and Machine Learning (ML) techniques.

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Published

2022-01-27

How to Cite

Azzolina D, Baldi (University of Padova) I, Barbati G, Berchialla P, Bottigliengo D, Bucci A, et al. Machine learning in clinical and epidemiological research: isn’t it time for biostatisticians to work on it? . ebph [Internet]. 2019 [cited 2026 Feb. 7];16(4). Available from: https://riviste.unimi.it/index.php/ebph/article/view/17117