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

Azzolina, D.; Baldi, I.; Barbati, G.; Berchialla, P.; Bottigliengo, D.; Bucci, A.; Calza, S.; Dolce, P.; Edefonti, V.; Faragalli, A.; Fiorito, G.; Gandin, I.; Giudici, F.; Gregori, D.; Gregorio, C.; Ieva, F.; Lanera, C.; Lorenzoni, G.; Marchioni, M.; Milanese, A.; Ricotti, A.; Sciannameo, V.; Solinas, G.; Vezzoli, M.

doi:10.2427/13245

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

Machine learning in clinical and epidemiological research: Isn't it time for biostatisticians to work on it? / Azzolina, D., Baldi, I., Barbati, G., Berchialla, P., Bottigliengo, D., Bucci, A., Calza, S., Dolce, P., Edefonti, V., Faragalli, A., Fiorito, G., Gandin, I., Giudici, F., Gregori, D., Gregorio, C., Ieva, F., Lanera, C., Lorenzoni, G., Marchioni, M., Milanese, A., et al.. - In: EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH. - ISSN 2282-0930. - ELETTRONICO. - 16:4(2019), pp. e13245."-"-e13245."-". [10.2427/13245]