Eleven quick tips for data cleaning and feature engineering by Davide Chicco, Luca Oneto, Erica Tavazzi

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Eleven quick tips for data cleaning and feature engineering. by Davide Chicco, Luca Oneto, Erica Tavazzi

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A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population by Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo

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Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis by Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo

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GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics by Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Erica Tavazzi, Mauro Vallati, Stefania Orini, Nicoletta Di Giorgi, Andrea Damiani

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Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study by Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chió, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo

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A differential process mining analysis of COVID-19 management for cancer patients by Michel A. Cuendet, Michel A. Cuendet, Michel A. Cuendet, Roberto Gatta, Roberto Gatta, Alexandre Wicky, Camille L. Gerard, Camille L. Gerard, Margaux Dalla-Vale, Erica Tavazzi, Grégoire Michielin, Julie Delyon, Nabila Ferahta, Julien Cesbron, Sébastien Lofek, Alexandre Huber, Jeremy Jankovic, Rita Demicheli, Hasna Bouchaab, Antonia Digklia, Michel Obeid, Solange Peters, Manuela Eicher, Manuela Eicher, Sylvain Pradervand, Olivier Michielin, Olivier Michielin

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