Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Bibhas Chakraborty"'
Autor:
Adrian Aguilera, Marvyn Arévalo Avalos, Jing Xu, Bibhas Chakraborty, Caroline Figueroa, Faviola Garcia, Karina Rosales, Rosa Hernandez-Ramos, Chris Karr, Joseph Williams, Lisa Ochoa-Frongia, Urmimala Sarkar, Elad Yom-Tov, Courtney Lyles
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e60834 (2024)
BackgroundDigital and mobile health interventions using personalization via reinforcement learning algorithms have the potential to reach large number of people to support physical activity and help manage diabetes and depression in daily life. Obje
Externí odkaz:
https://doaj.org/article/43c19e89d0e942289808660bb0b9b8c1
Autor:
Amudha Aravindhan, Eva K. Fenwick, Aurora Wing Dan Chan, Ryan Eyn Kidd Man, Ngiap Chuan Tan, Wei Teen Wong, Wern Fern Soo, Shin Wei Lim, Sabrina Yi-Mei Wee, Charumathi Sabanayagam, Eric Finkelstein, Gavin Tan, Haslina Hamzah, Bibhas Chakraborty, Sanchalika Acharyya, Tai E. Shyong, Peter Scanlon, Tien Yin Wong, Ecosse L. Lamoureux
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The Diabetic Retinopathy Extended Screening Study (DRESS) aims to develop and validate a new DR/diabetic macular edema (DME) risk stratification model in patients with Type 2 diabetes (DM) to identify low-risk groups who can be sa
Externí odkaz:
https://doaj.org/article/5d144abbb9874124a993f8fda8c08e70
Autor:
Marvyn R Arévalo Avalos, Jing Xu, Caroline Astrid Figueroa, Alein Y Haro-Ramos, Bibhas Chakraborty, Adrian Aguilera
Publikováno v:
PLOS Digital Health, Vol 3, Iss 2, p e0000449 (2024)
The StayWell at Home intervention, a 60-day text-messaging program based on Cognitive Behavioral Therapy (CBT) principles, was developed to help adults cope with the adverse effects of the global pandemic. Participants in StayWell at Home were found
Externí odkaz:
https://doaj.org/article/f1b1f969194e4837ac0647dcee274cb0
Autor:
Torsten B Neilands, Parya Saberi, Mallory O Johnson, Bibhas Chakraborty, Kristin Ming, Valerie A. Gruber, Louis Smith, Adam Sukhija-Cohen, Marie C D Stoner, Caravella L McCuistian, Celeste Balaban, Danielle Wagner
Publikováno v:
BMJ Open, Vol 13, Iss 10 (2023)
Introduction Young adults with HIV (YWH) experience worse clinical outcomes than adults and have high rates of substance use (SU) and mental illness that impact their engagement in care and adherence to antiretroviral therapy (ART). The intervention
Externí odkaz:
https://doaj.org/article/08988ec9f2c24311ba6af5ca5e8246fa
Autor:
Sayan Mitra, Cynthia M Kroeger, Jing Xu, Leah Avery, Andrius Masedunskas, Sophie Cassidy, Tian Wang, Imre Hunyor, Ian Wilcox, Robin Huang, Bibhas Chakraborty, Luigi Fontana
Publikováno v:
JMIR Research Protocols, Vol 12, p e46082 (2023)
BackgroundAchieving the weekly physical activity recommendations of at least 150-300 minutes of moderate-intensity or 75-150 minutes of vigorous-intensity aerobic exercise is important for reducing cardiometabolic risk, but evidence shows that most p
Externí odkaz:
https://doaj.org/article/72e5d1e73de142d98cf1c5aa7802bd05
Autor:
Sharon C. Sung, Leslie Lim, Swee Han Lim, Eric A. Finkelstein, Steven Lim Hoon Chin, Annitha Annathurai, Bibhas Chakraborty, Timothy J. Strauman, Mark H. Pollack, Marcus Eng Hock Ong
Publikováno v:
BMC Psychiatry, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Approximately 40% of Emergency Department (ED) patients with chest pain meet diagnostic criteria for panic-related anxiety, but only 1–2% are correctly diagnosed and appropriately managed in the ED. A stepped-care model, which f
Externí odkaz:
https://doaj.org/article/0b886b5c135c42c3ac44a6c9e070f847
Autor:
Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background Risk prediction models are useful tools in clinical decision-making which help with risk stratification and resource allocations and may lead to a better health care for patients. AutoScore is a machine learning–based automatic
Externí odkaz:
https://doaj.org/article/489775146bd1443a8315fef4a30c2912
Autor:
Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A. Hutcheson, Clifton D. Fuller, Bibhas Chakraborty, Christine B. Peterson
Publikováno v:
BMC Bioinformatics, Vol 23, Iss S3, Pp 1-20 (2022)
Abstract Background In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optim
Externí odkaz:
https://doaj.org/article/c43e7ce1b492433bb5a65757b5bc7a08
Autor:
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical reso
Externí odkaz:
https://doaj.org/article/33f6df0814e9492ca8f68e30723700f8
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
IntroductionThe multiple risks generated by the COVID-19 pandemic intensified the debate about healthcare access and coverage. Whether the burden of disease caused by the coronavirus outbreak changed public opinion about healthcare provision remains
Externí odkaz:
https://doaj.org/article/e0af1e42e1414e3c8448a4ac2280f580