Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Russell Greiner"'
Autor:
Li-Hao Kuan, Pedram Parnianpour, Rafsanjany Kushol, Neeraj Kumar, Tanushka Anand, Sanjay Kalra, Russell Greiner
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Amyotrophic Lateral Sclerosis (ALS) is a rapidly progressive neurodegenerative disease. Accurately predicting the survival time for ALS patients can help patients and clinicians to plan for future treatment and care. We describe the applicat
Externí odkaz:
https://doaj.org/article/0fc9b553c1554625bffa9418d4705089
Autor:
Daniel Skubleny, Jennifer Spratlin, Sunita Ghosh, Russell Greiner, Daniel E. Schiller, Gina R. Rayat
Publikováno v:
Cancers, Vol 16, Iss 4, p 786 (2024)
Recent advances in our understanding of gastric cancer biology have prompted a shift towards more personalized therapy. However, results are based on population-based survival analyses, which evaluate the average survival effects of entire treatment
Externí odkaz:
https://doaj.org/article/7c301073e8f54d849f9151bc558c3cd2
Autor:
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based m
Externí odkaz:
https://doaj.org/article/db1c2fd99ca3440ea1b8986df5321667
Autor:
Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister, Raj Padwal
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor in
Externí odkaz:
https://doaj.org/article/72a99919169140dbba0b140c56db4da1
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Hospitals in Canada are facing a crisis-level shortage of critical supplies and equipment during the COVID-19 pandemic. This motivates us to create predictive models that can use Canada COVID-19 data and pandemic-related factors to accuratel
Externí odkaz:
https://doaj.org/article/3fc3bd9152cd45b09ac66cef6f282565
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Since it emerged in December of 2019, COVID-19 has placed a huge burden on medical care in countries throughout the world, as it led to a huge number of hospitalizations and mortalities. Many medical centers were overloaded, as their intensi
Externí odkaz:
https://doaj.org/article/700a69e27d384b7784049fde9feb0ccb
Publikováno v:
Forecasting, Vol 4, Iss 1, Pp 72-94 (2022)
Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiologi
Externí odkaz:
https://doaj.org/article/3d6395613c164ca1b7b62642e0153a4d
Publikováno v:
Ecology and Evolution, Vol 11, Iss 19, Pp 13014-13028 (2021)
Abstract Planning forest management relies on predicting insect outbreaks such as mountain pine beetle, particularly in the intermediate‐term future, e.g., 5‐year. Machine‐learning algorithms are potential solutions to this challenging problem
Externí odkaz:
https://doaj.org/article/da98a8b387914c1fa59aba8b6639d0cd
Autor:
Bo Cao, Yang S. Liu, Alessandro Selvitella, Diego Librenza-Garcia, Ives Cavalcante Passos, Jeffrey Sawalha, Pedro Ballester, Jianshan Chen, Shimiao Dong, Fei Wang, Flavio Kapczinski, Serdar M. Dursun, Xin-Min Li, Russell Greiner, Andrew Greenshaw
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract The placebo effect across psychiatric disorders is still not well understood. In the present study, we conducted meta-analyses including meta-regression, and machine learning analyses to investigate whether the power of placebo effect depend
Externí odkaz:
https://doaj.org/article/0d4420b3807e42b49b2ffd91d7cc44b7
Autor:
Jeffrey Sawalha, Muhammad Yousefnezhad, Alessandro M. Selvitella, Bo Cao, Andrew J. Greenshaw, Russell Greiner
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporti
Externí odkaz:
https://doaj.org/article/73fe96fcedb94206827d6b1cf5c502b7