Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Scott Barnet"'
Autor:
Michael H. Le, Yee Hui Yeo, Biyao Zou, Scott Barnet, Linda Henry, Ramsey Cheung, Mindie H. Nguyen
Publikováno v:
Clinical and Molecular Hepatology. 28:841-850
Background/Aims: Due to increases in obesity and type 2 diabetes, the prevalence of nonalcoholic fatty liver disease (NAFLD) has also been increasing. Current forecast models may not include non-obese NAFLD. Here, we used the Bayesian approach to for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591fa0f36b101c5932e74d5f02ba3ae1
https://doi.org/10.3350/cmh.2022.0239
https://doi.org/10.3350/cmh.2022.0239
Autor:
Rongtao Lai, Scott Barnett, Xinrong Zhang, Leslie Yeeman Kam, Ramsey Cheung, Qing Xie, Mindie H Nguyen
Publikováno v:
PLoS Medicine, Vol 21, Iss 10, p e1004479 (2024)
BackgroundDetailed subgroup incidence rates for steatotic liver disease (SLD)-related hepatocellular carcinoma (HCC) are critical to inform practice and public health interventions but remain sparse. We aimed to fill in this gap.Methods and findingsI
Externí odkaz:
https://doaj.org/article/8f5263a9ab7c47639a172a2c843e5066
Autor:
Zafaryab Rasool, Stefanus Kurniawan, Sherwin Balugo, Scott Barnett, Rajesh Vasa, Courtney Chesser, Benjamin M. Hampstead, Sylvie Belleville, Kon Mouzakis, Alex Bahar-Fuchs
Publikováno v:
Natural Language Processing Journal, Vol 8, Iss , Pp 100083- (2024)
Document-based Question-Answering (QA) tasks are crucial for precise information retrieval. While some existing work focus on evaluating large language model’s (LLMs) performance on retrieving and answering questions from documents, assessing the L
Externí odkaz:
https://doaj.org/article/86a213db56ca48a2828e08525a633c5d
Autor:
Joo Wei Ethan Quek, Jing Hong Loo, En Qi Lim, Ambrose Hon-Lam Chung, Abu Bakar Bin Othman, Jarell Jie-Rae Tan, Scott Barnett, Mindie H. Nguyen, Yu Jun Wong
Publikováno v:
EClinicalMedicine, Vol 74, Iss , Pp 102727- (2024)
Summary: Background: Pregnant women with hepatitis C virus (HCV) infection represent a special population in which treatment access remains limited despite its increasing prevalence. A reliable estimate of the burden and clinical outcomes of pregnant
Externí odkaz:
https://doaj.org/article/6c3091d3933349e685d788888ffe1c26
Autor:
Katherine Mary Livingstone, Jonathan C Rawstorn, Laura Alston, Stephanie R Partridge, Amber Bastian, Kate Dullaghan, Sarah A McNaughton, Gilly A Hendrie, Lauren C Blekkenhorst, Ralph Maddison, Yuxin Zhang, Scott Barnett, John C Mathers, Stephanie L Godrich
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Diets low in vegetables are a main contributor to the health burden experienced by Australians living in rural communities. Given the ubiquity of smartphones and access to the Internet, digital interventions may offer an accessibl
Externí odkaz:
https://doaj.org/article/599dc0d0758f4b6c88fc460c5a928198
Autor:
Vy H. Nguyen, Isaac Le, Audrey Ha, Richard Hieu Le, Nicholas Ajit Rouillard, Ashley Fong, Surya Gudapati, Jung Eun Park, Mayumi Maeda, Scott Barnett, Ramsey Cheung, Mindie H. Nguyen
Publikováno v:
Clinical and Molecular Hepatology, Vol 29, Iss 4, Pp 1002-1012 (2023)
Background/Aims Understanding of non-alcoholic fatty liver disease (NAFLD) continues to expand, but the relationship between race and ethnicity and NAFLD outside the use of cross-sectional data is lacking. Using longitudinal data, we investigated the
Externí odkaz:
https://doaj.org/article/bcc628f2e895409ead1881186bee07e2
Autor:
Ralph Maddison, John C Mathers, Sarah A McNaughton, Lauren C Blekkenhorst, Katherine M Livingstone, Gavin Abbott, Laura Alston, Jonathan C Rawstorn, Eric O, Yuxin Zhang, Scott Barnett, Stephanie R Partridge, Stephanie L Godrich, Gilly A Hendrie, Kate Dullaghan
Publikováno v:
BMJ Open, Vol 14, Iss 1 (2024)
Introduction Diets low in vegetables are a main contributor to the health burden experienced by young adults in rural communities. Digital health interventions provide an accessible delivery model that can be personalised to meet the diverse preferen
Externí odkaz:
https://doaj.org/article/b9118cc3f3f24bce877faa4306bc7185
Autor:
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Rajesh Vasa, Kon Mouzakis, Terence J. O'Brien
Publikováno v:
Epilepsia Open, Vol 8, Iss 2, Pp 252-267 (2023)
Abstract Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the
Externí odkaz:
https://doaj.org/article/dd221382004549ed888af5dc9dc587a0
Autor:
Haleema Saeed, Yuan-Chiao Lu, Nickie Andescavage, Kushal Kapse, Nicole R. Andersen, Catherine Lopez, Jessica Quistorff, Scott Barnett, Diedtra Henderson, Dorothy Bulas, Catherine Limperopoulos
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract The Coronavirus Disease 2019 (COVID-19) pandemic has been accompanied by increased prenatal maternal distress (PMD). PMD is associated with adverse pregnancy outcomes which may be mediated by the placenta. However, the potential impact of th
Externí odkaz:
https://doaj.org/article/b0e945a7832c4f9d945b0f8f3ab94679
Autor:
Katherine M. Livingstone, Jonathan C. Rawstorn, Stephanie R. Partridge, Stephanie L. Godrich, Sarah A. McNaughton, Gilly A. Hendrie, Lauren C. Blekkenhorst, Ralph Maddison, Yuxin Zhang, Scott Barnett, John C. Mathers, Maria Packard, Laura Alston
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 20, Iss 1, Pp 1-22 (2023)
Abstract Background Digital interventions may help address low vegetable intake in adults, however there is limited understanding of the features that make them effective. We systematically reviewed digital interventions to increase vegetable intake
Externí odkaz:
https://doaj.org/article/c7224361edc048ba8d1669a7e9854e24