Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Angus Ritchie"'
Publikováno v:
Internal Medicine Journal. 53:68-73
Low molecular weight heparins (LMWH) are used extensively for prophylaxis and treatment of venous thromboembolism (VTE), bridging therapy for warfarin, and standard of care in cancer-associated VTE. Tinzaparin has the highest molecular weight of all
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Medication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and contextual factors. This qualitative study aims to evaluate the usability of an Electronic Medication
Autor:
Meg Jardine, Jack Morris, Akshay Athavale, Angus Ritchie, Shaundeep Sen, Martin Gallagher, Amanda Y. Wang
Publikováno v:
Nephrology. 26:12-14
We report a case of acute interstitial nephritis with associated nephrogenic diabetes insipidus in a patient treated with temozolomide and sulfamethoxazole-trimethoprim for glioblastoma multiforme. Kidney biopsy demonstrated focal tubulointerstitial
Publikováno v:
Journal of Pharmacy Practice and Research. 49:508-516
Background: An electronic venous thromboembolism (VTE) prophylaxis clinical decision support (CDS) tool was implemented in an electronic medication management system at an Australian tertiary teaching hospital. The VTE CDS had not been clinically val
Publikováno v:
PLOS ONE. 17:e0266911
ObjectiveDevelop an extract, transform, load (ETL) framework for the conversion of health databases to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) that supports transparency of the mapping process, readability, refacto
Publikováno v:
Nephrology (Carlton, Vic.)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8d0c12377d1d2e54893e5a53493a3a
https://hdl.handle.net/2123/27021
https://hdl.handle.net/2123/27021
Autor:
Sradha Kotwal, Louise M Burrell, Mark Jones, Angus Ritchie, Carinna Hockham, Meg Jardine, Christine Jenkins, Tom Snelling, Enmoore Lin, Vinay Rathore, Carol A. Pollock, Mallikarjuna Kunigari, Vivekanand Jha, Nikita Bathla, James McGree, Andrew J. McLachlan, Arlen Wilcox, Abhinav Bassi, Michael John
Publikováno v:
Trials
Trials, Vol 22, Iss 1, Pp 1-11 (2021)
Trials, Vol 22, Iss 1, Pp 1-11 (2021)
Background SARS-CoV-2 binds to membrane-bound angiotensin-converting enzyme 2 (ACE2) which may result in downregulation of membrane-bound ACE2. ACE2 is a key regulator of the renin-angiotensin system (RAS) and is responsible for degrading angiotensin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dea469b572a26fb1031e1c47ddadb07
https://hdl.handle.net/2123/26067
https://hdl.handle.net/2123/26067
Autor:
James Gatenby, K.A. Gibson, Angus Ritchie, Rosemary Burke, Asad E. Patanwala, Magnus Blomqvist
Publikováno v:
International journal of medical informatics. 143
Objective To identify the types of adverse drug events (ADEs) that drug-drug interaction (DDI) alerts are trying to prevent in hospitalized patients. Methods This was a retrospective cross-sectional study conducted in a tertiary referral hospital in
Autor:
Cassandra Dearing, Dianna Jagers, Richard Taggart, Owen Hutchings, Angus Ritchie, Miranda Shaw, Tim Sinclair, Aaron Jones, Teresa Anderson, Freya Raffan
Objectives: To describe the implementation and early experience of virtual health care for community management of patients with COVID-19. Design: observational cohort study. Setting: large Australian metropolitan health service with established virt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a85a4fa47b3a891c649d1d0c0b8f6cb
Autor:
Sradha Kotwal, Angus Ritchie, Sebastiano Barbieri, James Kemp, Oscar Perez-Concha, Martin Gallagher, Louisa Jorm
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several