Eugenio Zuccarelli

202120222023202421 32 33 8

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Dimitris BertsimasBoeing Professor of Operations Research, MITVerified email at mit.edu
George E. SarrisAthens Heart Surgery Institute and Mitera Children's Hospital, Athens, GreeceVerified email at athensheartsurgery.gr
Jack DunnCo-Founder, Interpretable AIVerified email at mit.edu
Christopher LF SunPostdoctoral Fellow, Massachusetts Institute of TechnologyVerified email at mit.edu
Retsef LeviProfessor of Operations Management, MITVerified email at mit.edu
El Ghali Ahmed ZerhouniMassachusetts Institute of TechnologyVerified email at mit.edu
Camilo RojasPostdoctoral Fellow - MIT Media LabVerified email at mit.edu
Pattie MaesProfessor of Media Arts and Sciences, MITVerified email at media.mit.edu
Alexandra ChinWellesley CollegeVerified email at wellesley.edu
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of BayreuthVerified email at imperial.ac.uk
Mireia Ruiz MaymóAglaris LtdVerified email at aglaris.co.uk

Eugenio Zuccarelli

Data Scientist and Researcher, MIT

Verified email at mit.edu - Homepage


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Predicting coronavirus disease 2019 infection risk and related risk drivers in nursing homes: a machine learning approach CLF Sun, E Zuccarelli, AZ El Ghali, J Lee, J Muller, KM Scott, AM Lujan, ... Journal of the American Medical Directors Association 21 (11), 1533-1538. e6, 2020	49	2020
Adverse outcomes prediction for congenital heart surgery: a machine learning approach D Bertsimas, D Zhuo, J Dunn, J Levine, E Zuccarelli, N Smyrnakis, ... World Journal for Pediatric and Congenital Heart Surgery 12 (4), 453-460, 2021	29	2021
Benchmarking in congenital heart surgery using machine learning-derived optimal classification trees D Bertsimas, D Zhuo, J Levine, J Dunn, Z Tobota, B Maruszewski, ... World Journal for Pediatric and Congenital Heart Surgery 13 (1), 23-35, 2022	10	2022
Towards enhancing empathy through emotion augmented remote communication C Rojas, E Zuccarelli, A Chin, G Patekar, D Esquivel, P Maes CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-9, 2022	8	2022
Machine Learning and Game Theory-Enabled Medicare Member Identification to Deliver Personalized Real-World Interventions to Manage Type 2 Diabetes A Zaleski, E Zuccarelli, K Craig, Y Wang, J Tukiman, D Verbrugge, T Liu, ... AMIA 2023, 2023		2023
Multi-Modal Controlled Prosthetic Arm E Zuccarelli, M Ruiz, I Garcia, C Konnaris, I Radcliff, AA Faisal Cybathlon Symposium Journal, 2016		2016

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