Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Melissa Aczon"'
Publikováno v:
IEEE Access, Vol 9, Pp 106140-106151 (2021)
Predictive models in acute care settings must immediately recognize precipitous changes in a patient’s status when presented with data reflecting such changes. Recurrent neural networks (RNN) have become popular for clinical decision support models
Externí odkaz:
https://doaj.org/article/cd474babf2d44a01aa64ea3c2a31b903
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 3, p e31760 (2022)
BackgroundHigh flow nasal cannula (HFNC) provides noninvasive respiratory support for children who are critically ill who may tolerate it more readily than other noninvasive ventilation (NIV) techniques such as bilevel positive airway pressure and co
Externí odkaz:
https://doaj.org/article/ef3f23db84584ccf8df8bfb72a8df2af
Publikováno v:
IEEE Access, Vol 9, Pp 106140-106151 (2021)
Predictive models in acute care settings must be able to immediately recognize precipitous changes in a patient's status when presented with data reflecting such changes. Recurrent neural networks (RNNs) have become common for training and deploying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc2c0181c183c1dacaa3a487cc17043
https://doi.org/10.1109/access.2021.3099996
https://doi.org/10.1109/access.2021.3099996
BACKGROUND High flow nasal cannula (HFNC) provides noninvasive respiratory support for children who are critically ill who may tolerate it more readily than other noninvasive ventilation (NIV) techniques such as bilevel positive airway pressure and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9e4fb7702776fb5c5ec480b023ef1af
https://doi.org/10.2196/preprints.31760
https://doi.org/10.2196/preprints.31760
Publikováno v:
JMIR medical informatics. 10(3)
Background High flow nasal cannula (HFNC) provides noninvasive respiratory support for children who are critically ill who may tolerate it more readily than other noninvasive ventilation (NIV) techniques such as bilevel positive airway pressure and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0975efd5db54026a464592f8c2d01a98
https://pubmed.ncbi.nlm.nih.gov/35238792
https://pubmed.ncbi.nlm.nih.gov/35238792
Publikováno v:
Pediatr Crit Care Med
Pediatric Critical Care Medicine
Pediatric Critical Care Medicine
Supplemental Digital Content is available in the text.
OBJECTIVES: Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child’s risk of mortality
OBJECTIVES: Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child’s risk of mortality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a9969c59b4ec49dc3143e7ce9ecacc8
https://pubmed.ncbi.nlm.nih.gov/34078844
https://pubmed.ncbi.nlm.nih.gov/34078844
Autor:
Christopher J. L. Newth, Meredith C Winter, Travis E Day, Patrick A. Ross, David Ledbetter, Randall C. Wetzel, Melissa Aczon
Publikováno v:
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies. 22(2)
Objectives Accurate prediction of time to death after withdrawal of life-sustaining therapies may improve counseling for families and help identify candidates for organ donation after cardiac death. The study objectives were to: 1) train a long short
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d758dd48e6fc20a5d6ed9667c5e4683
https://pubmed.ncbi.nlm.nih.gov/33528198
https://pubmed.ncbi.nlm.nih.gov/33528198
Autor:
T. Day, Christopher J. L. Newth, Randall C. Wetzel, Meredith C Winter, David Ledbetter, Melissa Aczon, Patrick A. Ross
Publikováno v:
A41. CRITICAL CARE: PREDICTING AND MEASURING OUTCOMES.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8cd809e3f36ba46a7446859db585d51
https://doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1612
https://doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1612
Autor:
Ariya Chau, Ryan A Eckberg, Lili Ehrlich, David Ledbetter, Laksana Eugene, Melissa Aczon, Jeffrey Gold, Randall Wetzel, Lara Nelson
Publikováno v:
Critical Care Medicine. 50:238-238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10cc8c5db68b6a622e6c4bedd055f605
https://doi.org/10.1097/01.ccm.0000808300.44885.40
https://doi.org/10.1097/01.ccm.0000808300.44885.40
Autor:
Cameron Carlin, Melissa Aczon, Long Van Ho, Eugene Laksana, Randall C. Wetzel, David Ledbetter
Publikováno v:
Journal of biomedical informatics. 102
Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies. Identifying which variables or features are useful in predicting clinical outcomes can be chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac8854be061845bf5e914037dfadf32
https://pubmed.ncbi.nlm.nih.gov/31870949
https://pubmed.ncbi.nlm.nih.gov/31870949