Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Robles Arévalo A"'
Autor:
Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Robles Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-10 (2022)
Abstract Computational methods from reinforcement learning have shown promise in inferring treatment strategies for hypotension management and other clinical decision-making challenges. Unfortunately, the resulting models are often difficult for clin
Externí odkaz:
https://doaj.org/article/fe27720701954c12a74797b3ec426440
Autor:
Aldo Robles Arévalo, Jason H. Maley, Lawrence Baker, Susana M. da Silva Vieira, João M. da Costa Sousa, Stan Finkelstein, Roselyn Mateo-Collado, Jesse D. Raffa, Leo Anthony Celi, Francis DeMichele
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-13 (2021)
Measurement(s) Blood Glucose • insulin (human) Technology Type(s) glucose analyzer • glucometer • Electronic Medical Record Factor Type(s) glucose readings • insulin inputs Sample Characteristic - Organism Homo sapiens Machine-accessible meta
Externí odkaz:
https://doaj.org/article/a88726ada0ff4299b98570fc4642c5e3
Autor:
Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D Lam, Sreekar Mantena, Aakanksha Rana, Deborah Goss, David W Bates, Leo Anthony Celi
Publikováno v:
PLOS Digital Health, Vol 1, Iss 5, p e0000033 (2022)
ObjectivesFederated learning (FL) allows multiple institutions to collaboratively develop a machine learning algorithm without sharing their data. Organizations instead share model parameters only, allowing them to benefit from a model built with a l
Externí odkaz:
https://doaj.org/article/9cc53973d57d42cfbacfb950eca7b171
Autor:
Leo Anthony Celi, Yuksel Altinel, Riccardo Levi, Francesco Carli, Aldo Robles Arévalo, Daniel J Stein, Matteo Maria Naldini, Federica Grassi, Andrea Zanoni, Stan Finkelstein, Susana M Vieira, João Sousa, Riccardo Barbieri
Publikováno v:
BMJ Health & Care Informatics, Vol 28, Iss 1 (2021)
Objective Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further interven
Externí odkaz:
https://doaj.org/article/c93dbc251b2f48db97c697f8c28cb8e9
Autor:
Susana M. Vieira, Leo Anthony Celi, Roselyn Mateo-Collado, Sreekar Mantena, João M. C. Sousa, Aldo Robles Arévalo, Jason H. Maley
Publikováno v:
Journal of Clinical Monitoring and Computing. 36:1297-1303
Hypoglycemia is a common occurrence in critically ill patients and is associated with significant mortality and morbidity. We developed a machine learning model to predict hypoglycemia by using a multicenter intensive care unit (ICU) electronic healt
Autor:
Federica Grassi, Andrea Zanoni, Riccardo Barbieri, Francesco Carli, Aldo Robles Arévalo, João M. C. Sousa, Stan N. Finkelstein, Leo Anthony Celi, Daniel J Stein, Yuksel Altinel, Matteo Maria Naldini, Riccardo Levi, Susana M. Vieira
Publikováno v:
BMJ Health & Care Informatics, Vol 28, Iss 1 (2021)
BMJ Health & Care Informatics
BMJ Health & Care Informatics
ObjectiveGastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further intervent
Autor:
Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Robles Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez
Publikováno v:
NPJ digital medicine. 5(1)
Computational methods from reinforcement learning have shown promise in inferring treatment strategies for hypotension management and other clinical decision-making challenges. Unfortunately, the resulting models are often difficult for clinicians to
Autor:
Lawrence Baker, Leo Anthony Celi, Susana M. Vieira, Francis DeMichele, João M. C. Sousa, Roselyn Mateo-Collado, Jesse D. Raffa, Aldo Robles Arévalo, Jason H. Maley, Stan N. Finkelstein
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-13 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-13 (2021)
Analysis of real-world glucose and insulin clinical data recorded in electronic medical records can provide insights into tailored approaches to clinical care, yet presents many analytic challenges. This work makes publicly available a dataset that c
Autor:
Lawrence Baker, Francis DeMichele, Stan N. Finkelstein, Jason H. Maley, Roselyn Mateo-Collado, Leo Anthony Celi, Aldo Robles Arévalo
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
The heterogeneity of critical illness complicates both clinical trial design and real-world management. This complexity has resulted in conflicting evidence and opinion regarding the optimal management in many intensive care scenarios. Understanding
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