Zobrazeno 1 - 10
of 1 902
pro vyhledávání: '"Golbus"'
Autor:
Huch, Easton K., Shi, Jieru, Abbott, Madeline R., Golbus, Jessica R., Moreno, Alexander, Dempsey, Walter H.
Mobile health leverages personalized, contextually-tailored interventions optimized through bandit and reinforcement learning algorithms. Despite its promise, challenges like participant heterogeneity, nonstationarity, and nonlinearity in rewards hin
Externí odkaz:
http://arxiv.org/abs/2312.06403
Autor:
Alexa E. Golbus, John L. Schuzer, Chloe Steveson, Shirley F. Rollison, James Matthews, Joseph Henry-Ellis, Marco Razeto, Marcus Y. Chen
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100578- (2024)
Purpose: Traditional CT acquisition planning is based on scout projection images from planar anterior-posterior and lateral projections where the radiographer estimates organ locations. Alternatively, a new scout method utilizing ultra-low dose helic
Externí odkaz:
https://doaj.org/article/4c81bcc7afe8434eaabe2edac348d687
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Timely and accurate referral of end-stage heart failure patients for advanced therapies, including heart transplants and mechanical circulatory support, plays an important role in improving patient outcomes and saving costs. However, the dec
Externí odkaz:
https://doaj.org/article/4ae676fc25274e789cc304b6a55f55d1
Autor:
Yao, Heming, Derksen, Harm, Golbus, Jessica R., Zhang, Justin, Aaronson, Keith D., Gryak, Jonathan, Najarian, Kayvan
A model's interpretability is essential to many practical applications such as clinical decision support systems. In this paper, a novel interpretable machine learning method is presented, which can model the relationship between input variables and
Externí odkaz:
http://arxiv.org/abs/2112.05071
Autor:
Gondi, Keerthi T., Hammer, Yoav, Yosef, Matheos, Golbus, Jessica R., Madamanchi, Chaitanya, Aaronson, Keith D., Murthy, Venkatesh L., Konerman, Matthew C.
Publikováno v:
In Journal of Cardiac Failure July 2024 30(7):915-925
Autor:
Gondi, Keerthi T., Kaul, Daniel R., Gregg, Kevin S., Golbus, Jessica R., Aaronson, Keith D., Murthy, Venkatesh L., Konerman, Matthew C.
Publikováno v:
In Journal of Heart and Lung Transplantation March 2024 43(3):432-441
Autor:
Jessica R. Golbus, Kashvi Gupta, Rachel Stevens, V.Swetha E. Jeganathan, Evan Luff, Jieru Shi, Walter Dempsey, Thomas Boyden, Bhramar Mukherjee, Sarah Kohnstamm, Vlad Taralunga, Vik Kheterpal, Susan Murphy, Predrag Klasnja, Sachin Kheterpal, Brahmajee K. Nallamothu
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Mobile health (mHealth) interventions may enhance positive health behaviors, but randomized trials evaluating their efficacy are uncommon. Our goal was to determine if a mHealth intervention augmented and extended benefits of center-based ca
Externí odkaz:
https://doaj.org/article/e2e299a80de04ed2b70a7af9b759d1a9
Autor:
Ashley Golbus, Delong Liu, Mark Levin, Neelam Raja, Elisa Biamino, Maria Bedeschi, Maria Digilio, Gabriella Squeo, Roberta Villa, Joy Lynne Freeman, Sharon Osgood, Giuseppe Merla, Barbara Pober, Carolyn Mervis, Amy Roberts, Colleen Morris, Lucy Osborne, Beth Kozel
Publikováno v:
Genetics in Medicine Open, Vol 2, Iss , Pp 101109- (2024)
Externí odkaz:
https://doaj.org/article/cb7472f1e4ca4ee68637b4da0c6a1f44
Autor:
Namratha Atluri, Sonali R. Mishra, Theresa Anderson, Rachel Stevens, Angel Edwards, Evan Luff, Brahmajee K. Nallamothu, Jessica R. Golbus
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 2 (2024)
Background Mobile health (mHealth) interventions have the potential to deliver longitudinal support to users outside of episodic clinical encounters. We performed a qualitative substudy to assess the acceptability of a text message‐based mHealth in
Externí odkaz:
https://doaj.org/article/0eb658126c734099a3d2b8309334b7f3
Autor:
Jessica R. Golbus, V. Swetha E. Jeganathan, Rachel Stevens, Weena Ekechukwu, Zahera Farhan, Rocio Contreras, Nikhila Rao, Brad Trumpower, Tanima Basu, Evan Luff, Lesli E. Skolarus, Mark W. Newman, Brahmajee K. Nallamothu, Michael P. Dorsch
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 2 (2024)
Background Smartphone applications and wearable devices are promising mobile health interventions for hypertension self‐management. However, most mobile health interventions fail to use contextual data, potentially diminishing their impact. The myB
Externí odkaz:
https://doaj.org/article/77c49bd305f04ea19ce52856555b41f9