Zobrazeno 1 - 10
of 481
pro vyhledávání: '"W. Nick"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background While multiple randomized controlled trials (RCTs) are available, their results may not be generalizable to older, unhealthier or less-adherent patients. Observational data can be used to predict outcomes and evaluate treatments;
Externí odkaz:
https://doaj.org/article/c27a01e3e4a746ddbfa2f01bd5846e88
Deep Reinforcement Learning is an effective tool for drug dosing for chronic condition management. However, the final protocol is generally a black box without any justification for its prescribed doses. This paper addresses this issue by proposing a
Externí odkaz:
http://arxiv.org/abs/2404.17187
Autor:
Wenjun Wang, W. Nick Street
Publikováno v:
Applied Network Science, Vol 3, Iss 1, Pp 1-26 (2018)
Abstract Modeling influence diffusion in social networks is an important challenge. We investigate influence-diffusion modeling and maximization in the setting of viral marketing, in which a node’s influence is measured by the number of nodes it ca
Externí odkaz:
https://doaj.org/article/1b85b5ccac1e45c69c94d57b10c05e8c
Autor:
W. Nick Hill
Publikováno v:
Revista Chilena de Literatura, Iss 20 (2016)
Externí odkaz:
https://doaj.org/article/e6d94ec680c848cba84fbf5d03acb48f
Traffic accident forecasting is a significant problem for transportation management and public safety. However, this problem is challenging due to the spatial heterogeneity of the environment and the sparsity of accidents in space and time. The occur
Externí odkaz:
http://arxiv.org/abs/2203.03100
Publikováno v:
Journal of Biomedical Informatics, 137 (2023) 104267
Warfarin is a widely used anticoagulant, and has a narrow therapeutic range. Dosing of warfarin should be individualized, since slight overdosing or underdosing can have catastrophic or even fatal consequences. Despite much research on warfarin dosin
Externí odkaz:
http://arxiv.org/abs/2202.03486
International Classification of Disease (ICD) codes are widely used for encoding diagnoses in electronic health records (EHR). Automated methods have been developed over the years for predicting biomedical responses using EHR that borrow information
Externí odkaz:
http://arxiv.org/abs/2108.01813
Publikováno v:
4th International Conference on Computer Science and Information Technology (COMIT 2020), November 28-29, 2020, Dubai, UAE. ISBN: 978-1-925953-30-5. Volume 10, Number 16
Kidney transplantation is the best treatment for end-stage renal failure patients. The predominant method used for kidney quality assessment is the Cox regression-based, kidney donor risk index. A machine learning method may provide improved predicti
Externí odkaz:
http://arxiv.org/abs/2012.03787
Autor:
Lash, Michael T., Street, W. Nick
Cardiovascular disease (CVD) is a serious illness affecting millions world-wide and is the leading cause of death in the US. Recent years, however, have seen tremendous growth in the area of personalized medicine, a field of medicine that places the
Externí odkaz:
http://arxiv.org/abs/2011.08254
Urban dispersal events are processes where an unusually large number of people leave the same area in a short period. Early prediction of dispersal events is important in mitigating congestion and safety risks and making better dispatching decisions
Externí odkaz:
http://arxiv.org/abs/1905.01281