Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sebastiano Barbieri"'
Autor:
Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy Churches, Sanja Lujic, Jo Hegarty, Louisa Jorm, Sebastiano Barbieri
Publikováno v:
JMIR Medical Education, Vol 10, p e51388 (2024)
Large-scale medical data sets are vital for hands-on education in health data science but are often inaccessible due to privacy concerns. Addressing this gap, we developed the Health Gym project, a free and open-source platform designed to generate s
Externí odkaz:
https://doaj.org/article/6be48b88d46a403192ae2284e7f1b73f
Autor:
Joanne M. Carson, Sebastiano Barbieri, Evan Cunningham, Eric Mao, Marc van derValk, Jürgen K. Rockstroh, Margaret Hellard, Arthur Kim, Sanjay Bhagani, Jordan J. Feld, Ed Gane, Maria C. Thurnheer, Julie Bruneau, Elise Tu, Gregory J. Dore, Gail V. Matthews, Marianne Martinello, the REACT study group
Publikováno v:
Journal of the International AIDS Society, Vol 26, Iss 9, Pp n/a-n/a (2023)
Abstract Introduction Exploration of sexual and drug use behaviours following treatment for recent hepatitis C virus (HCV) is limited. This analysis modelled behavioural trajectories following treatment for recent HCV and assessed reinfection. Method
Externí odkaz:
https://doaj.org/article/b3262514476c4462adada919df457c2f
Autor:
Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Rolf Kaiser, Louisa Jorm, Sebastiano Barbieri
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-24 (2022)
Measurement(s) vital signs • administered fluid boluses • vasopressors Technology Type(s) synthetic electronic medical records
Externí odkaz:
https://doaj.org/article/44160527549b4a90a9ac3f668a432e09
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with uncertainty (LDU) algorithm which identifies patients for whom d
Externí odkaz:
https://doaj.org/article/b87fa063f6dc457d8d0245c42625a6aa
Autor:
Chrianna Bharat, Natasa Gisev, Sebastiano Barbieri, Tim Dobbins, Sarah Larney, Michael Farrell, Louisa Degenhardt
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Background As dispensings for benzodiazepines and gabapentinoids have increased in recent years, risk of increased mortality has been identified, particularly when used with opioids. There is limited research examining use of these medicines among pe
Externí odkaz:
https://doaj.org/article/70e08af3c4744f01a05c6ac413185eee
Autor:
Chrianna Bharat, BSc, Matthew Hickman, ProfPhD, Sebastiano Barbieri, PhD, Louisa Degenhardt, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 6, Pp e397-e407 (2021)
Summary: A need exists to accurately estimate overdose risk and improve understanding of how to deliver treatments and interventions in people with opioid use disorder in a way that reduces such risk. We consider opportunities for predictive analytic
Externí odkaz:
https://doaj.org/article/f3deddbf35a1494d84d8b5ccf42c806c
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction There is no gold standard method for monitoring dementia incidence in Australia. Routinely collected linked administrative data are increasingly being used to monitor endpoints in observational studies and clinical trials and could benef
Externí odkaz:
https://doaj.org/article/ab6979e178a3409ea34373380d95bbc4
Autor:
Knud Nairz, Ingrid Böhm, Sebastiano Barbieri, Dieter Fiechter, Nicola Hošek, Johannes Heverhagen
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203807 (2018)
Diagnostic radiology examinations are generally very efficient processes optimized for high throughput and for serving the needs of physicians. On the downside, streamlined examinations disrupt the personal relationship between diagnosticians and pat
Externí odkaz:
https://doaj.org/article/cf6094fdc4004c0fa4ca6a21caa90099
Autor:
Oliver J Gurney-Champion, Remy Klaassen, Martijn Froeling, Sebastiano Barbieri, Jaap Stoker, Marc R W Engelbrecht, Johanna W Wilmink, Marc G Besselink, Arjan Bel, Hanneke W M van Laarhoven, Aart J Nederveen
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0194590 (2018)
The intravoxel incoherent motion (IVIM) model for diffusion-weighted imaging (DWI) MRI data bears much promise as a tool for visualizing tumours and monitoring treatment response. To improve the currently poor precision of IVIM, several fit algorithm
Externí odkaz:
https://doaj.org/article/6c975dc20847412da94cefa423c34b0b
Autor:
Miriam H A Bauer, Daniela Kuhnt, Sebastiano Barbieri, Jan Klein, Andreas Becker, Bernd Freisleben, Horst K Hahn, Christopher Nimsky
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e63082 (2013)
Diffusion Tensor Imaging (DTI) and fiber tractography are established methods to reconstruct major white matter tracts in the human brain in-vivo. Particularly in the context of neurosurgical procedures, reliable information about the course of fiber
Externí odkaz:
https://doaj.org/article/9aaf843959284073934e6a1679588df3