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Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence

Publikováno v: Bulletin of the American Meteorological Society. 103:E2878-E2886

There is a high demand and expectation for subseasonal to seasonal (S2S) prediction, which provides forecasts beyond 2 weeks, but less than 3 months ahead. To assess the potential benefit of artificial intelligence (AI) methods for S2S prediction thr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d76ad3575e9992e4aaea6bef2854300a
https://doi.org/10.1175/bams-d-22-0046.1

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Implementation findings from a hybrid III implementation-effectiveness trial of the Diabetes Prevention Program (DPP) in the Veterans Health Administration (VHA)

Autor: Laura J. Damschroder, Caitlin M. Reardon, Mona AuYoung, Tannaz Moin, Santanu K. Datta, Jordan B. Sparks, Matthew L. Maciejewski, Nanette I. Steinle, Jane E. Weinreb, Maria Hughes, Lillian F. Pinault, Xinran M. Xiang, Charles Billington, Caroline R. Richardson

Publikováno v: Implementation Science, Vol 12, Iss 1, Pp 1-14 (2017)

Abstract Background The Diabetes Prevention Program (DPP) is an effective lifestyle intervention to reduce incidence of type 2 diabetes. However, there are gaps in knowledge about how to implement DPP. The aim of this study was to evaluate implementa

Externí odkaz: https://doaj.org/article/392b179279f6457fa4a6f3a060f759ac

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goFOODTM: An Artificial Intelligence System for Dietary Assessment

Autor: Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Lillian F. Pinault, Colleen Kiley, Elias K. Spanakis, Stavroula Mougiakakou

Publikováno v: Sensors, Vol 20, Iss 15, p 4283 (2020)

Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The system can estimate the calorie and macronutrie

Externí odkaz: https://doaj.org/article/a185f259129a4d2cb8aed0d039447b25

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Hyperinsulinemic hypoglycemia, clinical considerations and a case report of a novel GCK mutation

Autor: Ann Miller, Raafia Memon, Lillian F. Pinault, Ilias Spanakis, Michelle Kraslow, Nanette I. Steinle

Publikováno v: Journal of Clinical and Translational Endocrinology Case Reports, Vol 20, Iss, Pp 100084-(2021)

Introduction Hypoglycemia harbors a broad differential diagnosis but is most often thought of in relation to poorly controlled diabetes. Recently however, there is growing evidence that genetic mutations, in the setting of hyperinsulinemic hypoglycem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::297af44e7a76a662eb89bb35eb6ee314
https://doi.org/10.1016/j.jecr.2021.100084

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Implementation findings from a hybrid III implementation-effectiveness trial of the Diabetes Prevention Program (DPP) in the Veterans Health Administration (VHA)

Autor: Jane E. Weinreb, Laura J. Damschroder, Jordan B. Sparks, Caitlin M. Reardon, Matthew L. Maciejewski, Mona AuYoung, Xinran M. Xiang, Tannaz Moin, Lillian F. Pinault, Charles J. Billington, Maria Celia B. Hughes, Santanu K. Datta, Caroline R. Richardson, Nanette I. Steinle

Publikováno v: Implementation science : IS, vol 12, iss 1
Implementation Science : IS
Implementation Science, Vol 12, Iss 1, Pp 1-14 (2017)

BackgroundThe Diabetes Prevention Program (DPP) is an effective lifestyle intervention to reduce incidence of type 2 diabetes. However, there are gaps in knowledge about how to implement DPP. The aim of this study was to evaluate implementation of DP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a033644f2ccf6dbe4c7e5214ee759b8
https://escholarship.org/uc/item/3bf583dv

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