Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Yugang Jia"'
Autor:
Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application
Externí odkaz:
https://doaj.org/article/99278e05f37346d3a6a13928527a9b7a
Publikováno v:
JMIR Diabetes, Vol 9, p e52688 (2024)
BackgroundDigital health programs provide individualized support to patients with chronic diseases and their effectiveness is measured by the extent to which patients achieve target individual clinical outcomes and the program’s ability to sustain
Externí odkaz:
https://doaj.org/article/e29c611f41d5487fa08d9134a3ea4283
Autor:
Vignesh Kumaresan, Niranjan Balachandar, Sarah F Poole, Lance J Myers, Paul Varghese, Vindell Washington, Yugang Jia, Vivian S Lee
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283517 (2023)
COVID-19 forecasting models have been critical in guiding decision-making on surveillance testing, social distancing, and vaccination requirements. Beyond influencing public health policies, an accurate COVID-19 forecasting model can impact community
Externí odkaz:
https://doaj.org/article/2e0c0d024d70452a9d69e9573982881a
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S1, Pp 1-14 (2019)
Abstract Background Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalization caused by congesti
Externí odkaz:
https://doaj.org/article/380cb4213d0b4df491ff9950dfe2ed8e
Publikováno v:
BIBM
Depression has been a major concern for the employers due to its high prevalence and cost. In United States, 6.8% of the work population had depression and it is accountable for over $100 billion workplace loss every year. Early detection and timely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb5b3090192e583bd9247a12c3aa12e
https://doi.org/10.1109/bibm47256.2019.8982975
https://doi.org/10.1109/bibm47256.2019.8982975
Publikováno v:
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data.
Collaborative filtering (CF) is an extensively studied topic in Recommender System. Recent approaches use the statistical framework based on local Taylor approximations to unify both user based and item based CF algorithms and improve the performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95f3701bf606f8b9e912b7115bf502d
https://doi.org/10.1145/3326937.3341250
https://doi.org/10.1145/3326937.3341250
Autor:
Thomas Andre Forsberg, Kirk T. Spencer, Xin Wang, Yugang Jia, Lucas de Melo Oliveira, Merlijn Sevenster
Publikováno v:
ICHI
Structured echocardiogram reporting system uses predefined finding codes (FCs) that correspond to one-sentence descriptions to report medical findings. Exploring the latent relationships between FCs will facilitate the efficiency and accuracy in repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4362ea89e00b23cc2069753e066595ef
https://doi.org/10.1109/ichi.2018.00085
https://doi.org/10.1109/ichi.2018.00085
Publikováno v:
WSC
Healthcare resources allocation is inherently difficult due to the prescriptive “what-if” nature of the question being asked. One kind of data driven method is building a statistical model for resource utilization and later leverage it for resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f9db2ee16e713f5325851235df0859
https://doi.org/10.1109/wsc.2017.8248190
https://doi.org/10.1109/wsc.2017.8248190
Autor:
Eran Simhon, Yugang Jia
Publikováno v:
ICHI
Reducing length of stay (LOS) in the emergency department (ED) has been a challenge for hospitals for many years. Patient’s LOS is affected by many factors such as medical, demographics and ED operations (i.e., availability of staff and other resou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::557aa9e9c44ac0c3a1fc6fc6d2130347
https://doi.org/10.1109/ichi.2017.81
https://doi.org/10.1109/ichi.2017.81
Publikováno v:
European Heart Journal. 38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d94fc22da8e32a388c72ce7cac7476
https://doi.org/10.1093/eurheartj/ehx504.p3233
https://doi.org/10.1093/eurheartj/ehx504.p3233