Aldo Robles Arévalo

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Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Susana VieiraDepartamento de Engenharia Mecânica, Instituto Superior Técnico, Universidade de Lisboa, Portugal.Verified email at tecnico.ulisboa.pt
Joao Miguel C. SousaIDMEC, Instituto Superior Técnico, Universidade de Lisboa, PortugalVerified email at tecnico.ulisboa.pt
Jason Maley, MD, MSHarvard Medical SchoolVerified email at bidmc.harvard.edu
Riccardo BarbieriPolitecnico Milano - Massachusetts General HospitalVerified email at polimi.it
Andrea ZanoniStanford UniversityVerified email at stanford.edu
Riccardo LeviHumanitas UniversityVerified email at st.hunimed.eu
Jesse RaffaResearch Scientist, Lab for Computational Physiology, MITVerified email at mit.edu
Cátia SalgadoIDMEC, Instituto Superior Técnico, Universidade de Lisboa, PortugalVerified email at alumni.uminho.pt
Uzay KaymakProfessor of information systems in the healthcare, Eindhoven University of TechnologyVerified email at ieee.org
Bernardo FirmeInstituto Superior Técnico, Universidade de LisboaVerified email at tecnico.ulisboa.pt

Aldo Robles Arévalo

IDMEC, Instituto Superior Técnico, Universidade de Lisboa

Verified email at tecnico.ulisboa.pt - Homepage

Artificial Intelligence in Medicine Computational Intelligence Decision Support Systems


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A systematic review of federated learning applications for biomedical data MG Crowson, D Moukheiber, AR Arévalo, BD Lam, S Mantena, A Rana, ... PLOS Digital Health 1 (5), e0000033, 2022	45	2022
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding R Levi, F Carli, AR Arévalo, Y Altinel, DJ Stein, MM Naldini, F Grassi, ... BMJ Health & Care Informatics 28 (1), 2021	24	2021
Real-world characterization of blood glucose control and insulin use in the intensive care unit L Baker, JH Maley, A Arévalo, F DeMichele III, R Mateo-Collado, ... Scientific Reports 10 (1), 10718, 2020	23	2020
Data-driven curation process for describing the blood glucose management in the intensive care unit A Robles Arévalo, JH Maley, L Baker, SM da Silva Vieira, ... Scientific Data 8 (1), 80, 2021	13	2021
Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records S Mantena, AR Arévalo, JH Maley, SM da Silva Vieira, R Mateo-Collado, ... Journal of clinical monitoring and computing, 1-7, 2022	8	2022
Aakanksha Rana, Deborah Goss, David W Bates, and Leo Anthony Celi MG Crowson, D Moukheiber, AR Arévalo, BD Lam, S Mantena A systematic review of federated learning applications for biomedical data …, 2022	7	2022
An interpretable RL framework for pre-deployment modeling in ICU hypotension management K Zhang, H Wang, J Du, B Chu, AR Arévalo, R Kindle, LA Celi, ... npj Digital Medicine 5 (1), 173, 2022	2	2022
A systematic review of federated learning applications for biomedical data. PLOS Digit Health 1 (5): e0000033 MG Crowson, D Moukheiber, AR Arévalo, BD Lam, S Mantena, A Rana	2	2022
Fuzzy classification of bariatric post-surgery effectiveness A Arévalo, R Pacheco, CM Salgado, S van Loon, AK Boer, SM Vieira, ... 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2018	1	2018
Curated Data for Describing Blood Glucose Management in the Intensive Care Unit A Robles Arévalo, R Mateo-Collado, LA Celi		2021
Fuzzy Modeling of Survival Associated to Insulin Therapy in the ICU A Arévalo, BM Firme, SM Vieira, L Celi, SN Finkelstein, JMC Sousa 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019		2019

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