Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Toby Gilbert"'
Autor:
Christine Davis, Nasime Mokari-Manshadi, Viviane De Menezes Caceres, Patrick Russell, Toby Gilbert, Stephen Hedger, Udul Hewage, Dirk Hoffman, Yogesh Sharma, Alice O’Connell, Amrit Sandhu, Jeff Faunt, Campbell Thompson
Publikováno v:
The Journal of Nutrition, Health and Aging, Vol 28, Iss 10, Pp 100362- (2024)
Objectives: Persistent and significant swallowing impairment can occur in individuals with dementia. Determining prognosis and establishing realistic goals of care in this population is complex and comfort feeding may be recommended. This study aimed
Externí odkaz:
https://doaj.org/article/38f8bc979eee43acb74e88e1647a6556
Autor:
Jin Nuo Joan Tsang, Stephen Bacchi, Joshua G. Kovoor, Aashray K. Gupta, Brandon Stretton, Samuel Gluck, Toby Gilbert, Yogesh Sharma, Richard Woodman, Arduino A. Mangoni
Publikováno v:
The Journal of Clinical Hypertension, Vol 25, Iss 11, Pp 1036-1039 (2023)
Abstract The epidemiology of elevations in blood pressure is incompletely characterized, particularly in Australia. Given the lack of evidence regarding the frequency and the optimal management of in‐hospital hypertension, the authors performed a m
Externí odkaz:
https://doaj.org/article/294a74dd31c842b2b04abaa52327186c
Autor:
Ivana Chim, Stephen Bacchi, Jim Jannes, Joy Cheng, Samuel Gluck, Simon A. Koblar, Yiran Tan, Timothy Kleinig, Toby Gilbert
Publikováno v:
Internal and Emergency Medicine. 17:411-415
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual patients. Artificial neural networks applied to medical text have previously shown promise in this are
Autor:
Melinda Jiang, Stephen Bacchi, Lydia Lam, Joshua M. Inglis, Samuel Gluck, William Smith, Toby Gilbert
Publikováno v:
International archives of allergy and immunology.
Introduction: Penicillin allergy labels are common. However, many penicillin allergy labels have been applied incorrectly and in fact represent penicillin intolerance. Patients with penicillin intolerance can receive penicillin antibiotics. The effec
Autor:
Samuel Gluck, Simon A. Koblar, Timothy Kleinig, Ivana Chim, Toby Gilbert, Jim Jannes, Joy Cheng, Stephen Bacchi, Yiran Tan
Publikováno v:
Internal and Emergency Medicine. 16:1613-1617
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitte
Autor:
Stephen Bacchi, Aashray K. Gupta, Joshua G. Kovoor, Christopher D. Ovenden, Minh‐Son To, Melinda Jiang, Rudy Goh, Sam Gluck, Toby Gilbert
Publikováno v:
Internal Medicine Journal. 52:1847-1848
Autor:
Joy Cheng, Yiran Tan, Jim Jannes, Stephen Bacchi, David K. Menon, Ivana Chim, Toby Gilbert, Samuel Gluck, Simon A. Koblar, Timothy Kleinig
Publikováno v:
Internal and Emergency Medicine. 15:989-995
Length of stay (LOS) and discharge destination predictions are key parts of the discharge planning process for general medical hospital inpatients. It is possible that machine learning, using natural language processing, may be able to assist with ac
Autor:
Stephen, Bacchi, Toby, Gilbert, Samuel, Gluck, Joy, Cheng, Yiran, Tan, Ivana, Chim, Jim, Jannes, Timothy, Kleinig, Simon, Koblar
Publikováno v:
Internal and emergency medicine. 17(2)
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual patients. Artificial neural networks applied to medical text have previously shown promise in this are
Autor:
Stephen, Bacchi, Samuel, Gluck, Yiran, Tan, Ivana, Chim, Joy, Cheng, Toby, Gilbert, Jim, Jannes, Timothy, Kleinig, Simon, Koblar
Publikováno v:
Internal and Emergency Medicine
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitte
Publikováno v:
Future Hospital Journal. 4:67-71
Medical education fails to prepare young doctors for the nature of the work they will encounter. Doctors face a rapidly changing medical landscape, which relies more and more upon interprofessional collaboration to optimise patient outcomes and upon