Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gloria Falcon"'
Autor:
Maria J Torres, Jacqueline Del Carpio, Mercedes Ibarz, Iñaki Romero, Nacho Nieto, Maria Paz Marco, Elias Jatem, Natalia Ramos, Pamela Chang, Silvia Pico, Elisard Huertas, Jorge Gonzalez, Gloria Falcon, Judith de la Torre, Marina Canales, Bruno Montoro, Joana Prat, Alfons Segarra
Publikováno v:
Clinical Kidney Journal
Background Models developed to predict hospital-acquired acute kidney injury (HA-AKI) in non-critically ill patients have a low sensitivity, do not include dynamic changes of risk factors and do not allow the establishment of a time relationship betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c02c34a6c4563f8faa4a8434f85c4ffd
https://doi.org/10.1093/ckj/sfab094
https://doi.org/10.1093/ckj/sfab094
Autor:
Maria Luisa Martin, Silvia Pico, Elisard Huertas, Alfons Segarra, Joana Prat, Ricard Gavaldà, Maria Paz Marco, Maria J Torres, Jacqueline Del Carpio, Iñaki Romero, Mercedes Ibarz, Natalia Ramos, Gloria Falcon, Judith de la Torre, Marina Canales, Bruno Montoro, Nacho Nieto
Publikováno v:
Scientia
Journal of Clinical Medicine, Vol 10, Iss 3959, p 3959 (2021)
Journal of Clinical Medicine
Volume 10
Issue 17
Journal of Clinical Medicine, Vol 10, Iss 3959, p 3959 (2021)
Journal of Clinical Medicine
Volume 10
Issue 17
Lesión renal aguda; Registros electrónicos de datos de salud; Adquirido en el hospital Lesió renal aguda; Registres electrònics de dades de salut; Adquirit a l'Hospital Acute kidney injury; Electronic health data records; Hospital-acquired Backgr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9afa5995f3d81ca1d39a8169e47f9412
https://hdl.handle.net/11351/7432
https://hdl.handle.net/11351/7432
Autor:
Jacqueline Del Carpio, Maria Luisa Martin, Jorge Gonzalez, Maria Paz Marco, Lourdes Craver, Mercedes Ibarz, Nacho Nieto, Gloria Falcon, Pamela Chang, Silvia Pico, Iñaki Romero, Alfons Segarra, Marina Canales, Elisard Huertas, Elias Jatem
Publikováno v:
Clinical Kidney Journal
Background The Madrid Acute Kidney Injury Prediction Score (MAKIPS) is a recently described tool capable of performing automatic calculations of the risk of hospital-acquired acute kidney injury (HA-AKI) using data from from electronic clinical recor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f61447b9fa7450d0b63baade3703c75
https://pubmed.ncbi.nlm.nih.gov/34754433
https://pubmed.ncbi.nlm.nih.gov/34754433
Autor:
Mora García, Jose Carlos
Publikováno v:
Universidad Nacional Autónoma de México
UNAM
Athenea Digital de la Facultad de Filosofía y Letras de la UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAM
UNAM
Athenea Digital de la Facultad de Filosofía y Letras de la UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAM
Fuente TESIUNAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c8411c1596361bcaa9bff32b807121fa
http://ru.atheneadigital.filos.unam.mx/jspui/handle/FFYL_UNAM/5022_TD63
http://ru.atheneadigital.filos.unam.mx/jspui/handle/FFYL_UNAM/5022_TD63