Zobrazeno 1 - 10
of 45
pro vyhledávání: '"WeiChuan Dong"'
Publikováno v:
Cancer Medicine, Vol 13, Iss 10, Pp n/a-n/a (2024)
Abstract Background Black men and men with end‐stage kidney disease have lower rates of treatment and higher mortality for prostate cancer. We studied the interaction of end‐stage kidney disease (ESKD) with Black race for treatment rates and mort
Externí odkaz:
https://doaj.org/article/29f7b72001344eb2ae8ae4ab06e5341d
Autor:
Nagaraju Sarabu, Weichuan Dong, Al W. Ray, Austin Fernstrum, Megan Prunty, Lee E. Ponsky, Jonathan E. Shoag, Vahakn B. Shahinian, Krista L. Lentine, Siran M. Koroukian
Publikováno v:
Cancer Medicine, Vol 12, Iss 7, Pp 7941-7950 (2023)
Abstract Background In accordance with guidelines, observation with or without active surveillance for low‐risk prostate cancer increased in recent years in the general population. We compared treatment patterns and mortality for low‐ and interme
Externí odkaz:
https://doaj.org/article/ec0f53d5b2814354bfb6850e859b2a0f
Autor:
Weichuan Dong, Issam Motairek, Khurram Nasir, Zhuo Chen, Uriel Kim, Yassin Khalifa, Darcy Freedman, Stephanie Griggs, Sanjay Rajagopalan, Sadeer G. Al-Kindi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Disparities in premature cardiovascular mortality (PCVM) have been associated with socioeconomic, behavioral, and environmental risk factors. Understanding the “phenotypes”, or combinations of characteristics associated with the highest
Externí odkaz:
https://doaj.org/article/e4ef3dfb82704d51a0052b7cdc55df7e
A Deep Reinforcement Learning Real-Time Recommendation Model Based on Long and Short-Term Preference
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-14 (2023)
Abstract With the development of Internet technology, the problem of information overload has increasingly attracted attention. Nowadays, the recommendation system with excellent performance in information retrieval and filtering would be widely used
Externí odkaz:
https://doaj.org/article/c6052cb4c0e149e2bbccf8e7e5fe8815
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1350-1376 (2022)
Most deep learning methods in hyperspectral image (HSI) classification use local learning methods, where overlapping areas between pixels can lead to spatial redundancy and higher computational cost. This paper proposes an efficient global learning (
Externí odkaz:
https://doaj.org/article/4c250e1384c34b1ea061b2d932d813d9
Autor:
Johnie Rose, Yvonne Oliver, Paulette Sage, Weichuan Dong, Siran M. Koroukian, Sarah Koopman Gonzalez
Publikováno v:
BMC Women's Health, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Black women diagnosed with breast cancer in the U.S. tend to experience significantly longer waits to begin treatment than do their white counterparts, and such treatment delay has been associated with poorer survival. We sought t
Externí odkaz:
https://doaj.org/article/3a8a549ca9a14d1e8b5cfcf77103011f
Autor:
Weichuan Dong, Issam Motairek, Khurram Nasir, Zhuo Chen, Uriel Kim, Yassin Khalifa, Darcy Freedman, Stephanie Griggs, Sanjay Rajagopalan, Sadeer G. Al‑Kindi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/7268b21496f64e9783c77b235c4dfb45
Publikováno v:
IEEE Access, Vol 8, Pp 158293-158305 (2020)
Designing a system to solve school bus routing problems (SBRP), especially in a large school district, is very complex and expensive. One of the challenges resides in designing routes for the school buses when they have mixed loads, where each bus tr
Externí odkaz:
https://doaj.org/article/80279166dc674422bd77256605197059
Publikováno v:
JACC: CardioOncology. 5:233-243
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393bd5d3dec15c9b4cd1544fc942bff2
https://doi.org/10.1016/j.jaccao.2023.02.001
https://doi.org/10.1016/j.jaccao.2023.02.001
Autor:
Uriel Kim, Siran M. Koroukian, Kurt C. Stange, James C. Spilsbury, Weichuan Dong, Johnie Rose
Publikováno v:
Health Services Research. 57:1348-1360
To assess a new approach (weighting by "income probabilities [IP]") that uses US Census data from the patients' communities to approximate individual-level income, an important but often missing variable in health services research.Community (census
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ae01e3e30bab7999c454dd40e84208
https://doi.org/10.1111/1475-6773.14026
https://doi.org/10.1111/1475-6773.14026