Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Miguel A. A. de la Hoz"'
Autor:
Juan Luis González Rodríguez, Andreea M. Oprescu, Sergio Muñoz Lezcano, Jaime Cordero Ramos, Juan Luis Romero Cabrera, Miguel Ángel Armengol de la Hoz, Ángel Estella
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundThe global COVID-19 pandemic, caused by the SARS-CoV-2 virus, has presented significant challenges to healthcare systems worldwide.ObjectiveThis study, based on an analysis of a cohort from the Public Health System of Andalusia (Spain), aim
Externí odkaz:
https://doaj.org/article/10b1778b45a148d1afc0820ed452a1ca
Autor:
Jip W. T. M. de Kok, Miguel Á. Armengol de la Hoz, Ymke de Jong, Véronique Brokke, Paul W. G. Elbers, Patrick Thoral, Alejandro Castillejo, Tomás Trenor, Jose M. Castellano, Alberto E. Bronchalo, Tobias M. Merz, Martin Faltys, Collaborator group, Iwan C. C. van der Horst, Minnan Xu, Leo Anthony Celi, Bas C. T. van Bussel, Xavier Borrat
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Sharing healthcare data is increasingly essential for developing data-driven improvements in patient care at the Intensive Care Unit (ICU). However, it is also very challenging under the strict privacy legislation of the European Union (EU).
Externí odkaz:
https://doaj.org/article/dc8a8f0fef5b4b66bd8b8bb4e2467c29
Autor:
Jay Chandra, Miguel A. Armengol de la Hoz, Gwendolyn Lee, Alexandria Lee, Patrick Thoral, Paul Elbers, Hyung-Chul Lee, John S. Munger, Leo Anthony Celi, David A. Kaufman
Publikováno v:
Critical Care, Vol 26, Iss 1, Pp 1-10 (2022)
Abstract Purpose Sepsis is a leading cause of morbidity and mortality worldwide and is characterized by vascular leak. Treatment for sepsis, specifically intravenous fluids, may worsen deterioration in the context of vascular leak. We therefore sough
Externí odkaz:
https://doaj.org/article/0cd522bcd3e34d1da13c44482afd79f1
Autor:
Jennifer Ziegler, Barret N M Rush, Eric R Gottlieb, Leo Anthony Celi, Miguel Ángel Armengol de la Hoz
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000124 (2022)
High resolution clinical databases from electronic health records are increasingly being used in the field of health data science. Compared to traditional administrative databases and disease registries, these newer highly granular clinical datasets
Externí odkaz:
https://doaj.org/article/42aff0a31e71471c8c5929028daae1ed
Publikováno v:
BMJ Health & Care Informatics, Vol 29, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/bb382657382b4bd18c5921aaa06494a2
Autor:
Isabel Amaya-Rodriguez, Nekane Larburu, María Rollán Martinez-Herrera, Kristin Rebescher, Iván Macia, Miguel A. Armengol De La Hoz, Cristina Rubio-Escudero, Alba Garin-Muga
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
With the advent of SARS-CoV-2, several studies have shown that there is a higher mortality rate in patients with diabetes and, in some cases, it is one of the side effects of overcoming the disease. However, there is no clinical decision support tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b38bb787f34e6cde0a58cf3292b8e17e
https://doi.org/10.3233/shti230197
https://doi.org/10.3233/shti230197
Autor:
Alyssa Y. Chen, Chih-Ying Deng, Paola Calvachi, Miguel Ángel Armengol de la Hoz, Afeefah Khazi-Syed, Christina Chen, Corey Scurlock, Christian Becker, Alistair Johnson, Leo Celi, Alon Dagan
Publikováno v:
Chest.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dfa08f479fbfe03f8a36163b7586263
https://doi.org/10.1016/j.chest.2023.03.046
https://doi.org/10.1016/j.chest.2023.03.046
Autor:
Joy Tzung-yu Wu, Miguel Ángel Armengol de la Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for the detection and prognostication of SARS-CoV-2 infections with the goal of helping health systems allocate resources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adde3af1bba6d1007e05b607cd36e7d6
https://hdl.handle.net/20.500.12105/15744
https://hdl.handle.net/20.500.12105/15744
Publikováno v:
Clinical and Experimental Emergency Medicine
Objective Our objective was to study the clinical monitoring capabilities of a low-cost fitness wristband while measuring patient satisfaction with a mobility permitting device in the emergency department.Methods Patients enrolled were on continuous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::932742be58e8421d9e16e758c3034970
http://europepmc.org/articles/PMC8517460
http://europepmc.org/articles/PMC8517460
Autor:
Marta Fernandes, Balachundhar Subramaniam, Miguel Ángel Armengol de la Hoz, Valluvan Rangasamy
Publikováno v:
Journal of Cardiothoracic and Vascular Anesthesia. 35:857-865
Machine learning models used to predict postoperative mortality rarely include intraoperative factors. Several intraoperative factors like hypotension (IOH), vasopressor-inotropes, and cardiopulmonary bypass (CPB) time are significantly associated wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8760a969135925546d36bb43cef15b71
https://doi.org/10.1053/j.jvca.2020.07.029
https://doi.org/10.1053/j.jvca.2020.07.029