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106 results for Chakraborty,+Bibhas

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ArticlesPeer ReviewedFull Text
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review
Author / Creator:Leong, Utek ; Chakraborty, Bibhas
Publisher:Canada: JMIR Publications
Journal title:JMIR mHealth and uHealth, 2023-05, Vol.11, p.e44685-e44685
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Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department
Author / Creator:Ang, Yukai ; Li, Siqi ; Ong, Marcus Eng Hock ; Xie, Feng ; Teo, Su Hooi ; Choong, Lina ; Koniman, Riece ; Chakraborty, Bibhas ; Ho, Andrew Fu Wah ; Liu, Nan
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2022-05, Vol.12 (1), p.7111-7111, Article 7111
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Inference for non-regular parameters in optimal dynamic treatment regimes
Author / Creator:Chakraborty, Bibhas ; Murphy, Susan ; Strecher, Victor
Publisher:London, England: SAGE Publications
Journal title:Statistical methods in medical research, 2010-06, Vol.19 (3), p.317-343
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ArticlesPeer ReviewedFull Text
AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records
Author / Creator:Xie, Feng ; Chakraborty, Bibhas ; Ong, Marcus Eng Hock ; Goldstein, Benjamin Alan ; Liu, Nan
Publisher:Canada: JMIR Publications
Journal title:JMIR medical informatics, 2020-10, Vol.8 (10), p.e21798-e21798
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ArticlesPeer ReviewedFull Text
A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses
Author / Creator:Liu, Pinyan ; Yuan, Han ; Ning, Yilin ; Chakraborty, Bibhas ; Liu, Nan ; Peres, Marco Aurélio
Publisher:England: BioMed Central Ltd
Journal title:BMC medical research methodology, 2024-12, Vol.24 (1), p.305-15, Article 305
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mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study
Author / Creator:Aguilera, Adrian ; Figueroa, Caroline A ; Hernandez-Ramos, Rosa ; Sarkar, Urmimala ; Cemballi, Anupama ; Gomez-Pathak, Laura ; Miramontes, Jose ; Yom-Tov, Elad ; Chakraborty, Bibhas ; Yan, Xiaoxi ; Xu, Jing ; Modiri, Arghavan ; Aggarwal, Jai ; Jay Williams, Joseph ; Lyles, Courtney R
Publisher:England: British Medical Journal Publishing Group
Journal title:BMJ open, 2020-08, Vol.10 (8), p.e034723-e034723
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ArticlesPeer ReviewedFull Text
AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes
Author / Creator:Saffari, Seyed Ehsan ; Ning, Yilin ; Xie, Feng ; Chakraborty, Bibhas ; Volovici, Victor ; Vaughan, Roger ; Ong, Marcus Eng Hock ; Liu, Nan
Publisher:London: BioMed Central Ltd
Journal title:BMC medical research methodology, 2022-11, Vol.22 (1), p.1-286, Article 286
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Estimating the optimal linear combination of predictors using spherically constrained optimization
Author / Creator:Das, Priyam ; De, Debsurya ; Maiti, Raju ; Kamal, Mona ; Hutcheson, Katherine A. ; Fuller, Clifton D. ; Chakraborty, Bibhas ; Peterson, Christine B.
Publisher:England: BioMed Central Ltd
Journal title:BMC bioinformatics, 2022-10, Vol.23 (S3), p.436-20, Article 436
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Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinic...
Author / Creator:Aguilera, Adrian ; Arévalo Avalos, Marvyn ; Xu, Jing ; Chakraborty, Bibhas ; Figueroa, Caroline ; Garcia, Faviola ; Rosales, Karina ; Hernandez-Ramos, Rosa ; Karr, Chris ; Williams, Joseph ; Ochoa-Frongia, Lisa ; Sarkar, Urmimala ; Yom-Tov, Elad ; Lyles, Courtney
Publisher:Canada: Journal of Medical Internet Research
Journal title:Journal of medical Internet research, 2024-10, Vol.26 (2), p.e60834
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Benchmarking emergency department prediction models with machine learning and public electronic health records
Author / Creator:Xie, Feng ; Zhou, Jun ; Lee, Jin Wee ; Tan, Mingrui ; Li, Siqi ; Rajnthern, Logasan S/O ; Chee, Marcel Lucas ; Chakraborty, Bibhas ; Wong, An-Kwok Ian ; Dagan, Alon ; Ong, Marcus Eng Hock ; Gao, Fei ; Liu, Nan
Publisher:London: Nature Publishing Group
Journal title:Scientific data, 2022-10, Vol.9 (1)
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ArticlesPeer ReviewedFull Text
Sequential Multiple Assignment Randomized Trial (SMART) to identify optimal sequences of telemedicine interventions for improving initiation of insulin therapy: A simulation study
Author / Creator:Yan, Xiaoxi ; Matchar, David B. ; Sivapragasam, Nirmali ; Ansah, John P. ; Goel, Aastha ; Chakraborty, Bibhas
Publisher:London: BioMed Central Ltd
Journal title:BMC medical research methodology, 2021-09, Vol.21 (1), p.1-200, Article 200
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ArticlesPeer ReviewedFull Text
A scoping review of studies using observational data to optimise dynamic treatment regimens
Author / Creator:Mahar, Robert K. ; McGuinness, Myra B. ; Chakraborty, Bibhas ; Carlin, John B. ; IJzerman, Maarten J. ; Simpson, Julie A.
Publisher:England: BioMed Central Ltd
Journal title:BMC medical research methodology, 2021-02, Vol.21 (1), p.39-39, Article 39
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Digital solution for salutogenic brain health: a pilot sequential multiple assignment randomised trial (SMART) protocol for clinical implementation
Author / Creator:Chang, Claire See Ying ; Phua, Vanessa ; Tham, Xiang Cong ; Jia, Yuanxi ; Chen, Nicole Yun Ching ; Zhou, Wentao ; Liau, Wei Fong ; Xu, Jing ; Chakraborty, Bibhas ; Graves, Nicholas ; Sevdalis, Nick ; Dong, Yanhong
Publisher:England: British Medical Journal Publishing Group
Journal title:BMJ open, 2025-03, Vol.15 (3), p.e096568
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ArticlesPeer ReviewedFull Text
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study
Author / Creator:Ning, Yilin ; Li, Siqi ; Ong, Marcus Eng Hock ; Xie, Feng ; Chakraborty, Bibhas ; Ting, Daniel Shu Wei ; Liu, Nan
Publisher:United States: Public Library of Science
Journal title:PLOS digital health, 2022-06, Vol.1 (6), p.e0000062-e0000062
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Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study
Author / Creator:Aravindhan, Amudha ; Fenwick, Eva K. ; Chan, Aurora Wing Dan ; Man, Ryan Eyn Kidd ; Tan, Ngiap Chuan ; Wong, Wei Teen ; Soo, Wern Fern ; Lim, Shin Wei ; Wee, Sabrina Yi-Mei ; Sabanayagam, Charumathi ; Finkelstein, Eric ; Tan, Gavin ; Hamzah, Haslina ; Chakraborty, Bibhas ; Acharyya, Sanchalika ; Shyong, Tai E. ; Scanlon, Peter ; Wong, Tien Yin ; Lamoureux, Ecosse L.
Publisher:England: BioMed Central Ltd
Journal title:BMC public health, 2024-03, Vol.24 (1), p.786-13, Article 786
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ArticlesPeer ReviewedFull Text
Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions
Author / Creator:Xie, Feng ; Ong, Marcus Eng Hock ; Liew, Johannes Nathaniel Min Hui ; Tan, Kenneth Boon Kiat ; Ho, Andrew Fu Wah ; Nadarajan, Gayathri Devi ; Low, Lian Leng ; Kwan, Yu Heng ; Goldstein, Benjamin Alan ; Matchar, David Bruce ; Chakraborty, Bibhas ; Liu, Nan
Publisher:United States: American Medical Association
Journal title:JAMA network open, 2021-08, Vol.4 (8), p.e2118467-e2118467
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Protocol for a multi-site randomized controlled trial of a stepped-care intervention for emergency department patients with panic-related anxiety
Author / Creator:Sung, Sharon C. ; Lim, Leslie ; Lim, Swee Han ; Finkelstein, Eric A. ; Chin, Steven Lim Hoon ; Annathurai, Annitha ; Chakraborty, Bibhas ; Strauman, Timothy J. ; Pollack, Mark H. ; Ong, Marcus Eng Hock
Publisher:England: BioMed Central Ltd
Journal title:BMC psychiatry, 2022-12, Vol.22 (1), p.795-795, Article 795
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iVY: protocol for a randomised clinical trial to test the effect of a technology-based intervention to improve virological suppression among young adults with HIV in the USA
Author / Creator:Saberi, Parya ; Stoner, Marie C D ; McCuistian, Caravella L ; Balaban, Celeste ; Ming, Kristin ; Wagner, Danielle ; Chakraborty, Bibhas ; Smith, Louis ; Sukhija-Cohen, Adam ; Neilands, Torsten B ; Gruber, Valerie A. ; Johnson, Mallory O
Publisher:England: British Medical Journal Publishing Group
Journal title:BMJ open, 2023-10, Vol.13 (10), p.e077676-e077676
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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation
Author / Creator:Liu, Nan ; Xie, Feng ; Siddiqui, Fahad Javaid ; Ho, Andrew Fu Wah ; Chakraborty, Bibhas ; Nadarajan, Gayathri Devi ; Tan, Kenneth Boon Kiat ; Ong, Marcus Eng Hock
Publisher:Canada: JMIR Publications
Journal title:JMIR research protocols, 2022-03, Vol.11 (3), p.e34201-e34201
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Recruitment of racial/ethnic minority older adults through community sites for focus group discussions
Author / Creator:Northridge, Mary E. ; Shedlin, Michele ; Schrimshaw, Eric W. ; Estrada, Ivette ; De La Cruz, Leydis ; Peralta, Rogelina ; Birdsall, Stacia ; Metcalf, Sara S. ; Chakraborty, Bibhas ; Kunzel, Carol
Publisher:England: BioMed Central Ltd
Journal title:BMC public health, 2017-06, Vol.17 (1), p.563-563, Article 563
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Showing 1 to 20 of 106 results

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Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review

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Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department

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Inference for non-regular parameters in optimal dynamic treatment regimes

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AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

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A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses

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mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

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AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes

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Estimating the optimal linear combination of predictors using spherically constrained optimization

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Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinic...

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Benchmarking emergency department prediction models with machine learning and public electronic health records

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Sequential Multiple Assignment Randomized Trial (SMART) to identify optimal sequences of telemedicine interventions for improving initiation of insulin therapy: A simulation study

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A scoping review of studies using observational data to optimise dynamic treatment regimens

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Digital solution for salutogenic brain health: a pilot sequential multiple assignment randomised trial (SMART) protocol for clinical implementation

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A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

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Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study

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Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

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Protocol for a multi-site randomized controlled trial of a stepped-care intervention for emergency department patients with panic-related anxiety

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iVY: protocol for a randomised clinical trial to test the effect of a technology-based intervention to improve virological suppression among young adults with HIV in the USA

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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

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Recruitment of racial/ethnic minority older adults through community sites for focus group discussions

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