Zobrazeno 1 - 10
of 495
pro vyhledávání: '"Shetty Vivek"'
Autor:
Trella, Anna L., Zhang, Kelly W., Jajal, Hinal, Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recommendations for twice-daily tooth brushing, adherence to recommended ora
Externí odkaz:
http://arxiv.org/abs/2409.02069
Autor:
Trella, Anna L., Ghosh, Susobhan, Bonar, Erin E., Coughlin, Lara, Doshi-Velez, Finale, Guo, Yongyi, Hung, Pei-Yao, Nahum-Shani, Inbal, Shetty, Vivek, Walton, Maureen, Yan, Iris, Zhang, Kelly W., Murphy, Susan A.
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, the delivery of treatment based on accruing data. The objective of this
Externí odkaz:
http://arxiv.org/abs/2409.10526
Autor:
Trella, Anna L., Zhang, Kelly W., Carpenter, Stephanie M., Elashoff, David, Greer, Zara M., Nahum-Shani, Inbal, Ruenger, Dennis, Shetty, Vivek, Murphy, Susan A.
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basic behavior is not consistently practiced. We have developed Oralytics,
Externí odkaz:
http://arxiv.org/abs/2406.13127
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Yan, Iris, Doshi-Velez, Finale, Murphy, Susan A.
Online reinforcement learning (RL) algorithms offer great potential for personalizing treatment for participants in clinical trials. However, deploying an online, autonomous algorithm in the high-stakes healthcare setting makes quality control and da
Externí odkaz:
http://arxiv.org/abs/2402.17003
Publikováno v:
SICOT-J, Vol 7, p 42 (2021)
Introduction: Total Hip Replacement (THR) in displaced Fracture Neck of Femur (FNOF) is associated with higher dislocation rates. Conventional THR with a large femoral head and anterior approach has reduced the instability, but it remains higher than
Externí odkaz:
https://doaj.org/article/2671770df58a40a6bc5c10de207bf0fc
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Dental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from timely and pe
Externí odkaz:
http://arxiv.org/abs/2208.07406
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings include ensurin
Externí odkaz:
http://arxiv.org/abs/2206.03944
Publikováno v:
In Brain Behavior and Immunity July 2024 119:792-800
Autor:
Tandel, Jignesh, Shetty, Vivek, Wagh, Yash, Shekhar, Sajeev, Wagh, Aniket, Parvathy, J.M., Karade, Vikas, Maurya, Amit
Publikováno v:
In The Knee June 2024 48:197-206
Autor:
Nahum-Shani, Inbal, Greer, Zara M., Trella, Anna L., Zhang, Kelly W., Carpenter, Stephanie M., Rünger, Dennis, Elashoff, David, Murphy, Susan A., Shetty, Vivek
Publikováno v:
In Contemporary Clinical Trials April 2024 139