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pro vyhledávání: '"Street, W Nick"'
Federated learning (FL) enables multiple clients with distributed data sources to collaboratively train a shared model without compromising data privacy. However, existing FL paradigms face challenges due to heterogeneity in client data distributions
Externí odkaz:
http://arxiv.org/abs/2410.14075
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:
Griffin, Benjamin R., Mudireddy, Avinash, Horne, Benjamin D., Chonchol, Michel, Goldstein, Stuart L., Goto, Michihiko, Matheny, Michael E., Street, W. Nick, Vaughan-Sarrazin, Mary, Jalal, Diana I., Misurac, Jason
Publikováno v:
In Kidney Medicine December 2024 6(12)
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
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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