Bibhas Chakraborty

Bibhas Chakraborty

National University of Singapore

H-index: 29

Asia-Singapore

About Bibhas Chakraborty

Bibhas Chakraborty, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Dynamic Treatment Regimes, Adaptive Clinical Trials, Mobile and Digital Health, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare

Incorporating participants’ welfare into sequential multiple assignment randomized trials

A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial

The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial

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

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes

Skew Probabilistic Neural Networks for Learning from Imbalanced Data

Bibhas Chakraborty Information

University

Position

Associate Professor Duke-NUS Medical School

Citations(all)

3772

Citations(since 2020)

2273

Cited By

2193

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

60

i10Index(since 2020)

51

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Bibhas Chakraborty Skills & Research Interests

Dynamic Treatment Regimes

Adaptive Clinical Trials

Mobile and Digital Health

Reinforcement Learning

Top articles of Bibhas Chakraborty

Title

Journal

Author(s)

Publication Date

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data

arXiv preprint arXiv:2403.05229

Siqi Li

Yuqing Shang

Ziwen Wang

Qiming Wu

Chuan Hong

...

2024/3/8

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare

arXiv preprint arXiv:2403.05235

Mingxuan Liu

Yilin Ning

Yuhe Ke

Yuqing Shang

Bibhas Chakraborty

...

2024/3/8

Incorporating participants’ welfare into sequential multiple assignment randomized trials

Biometrics

Xinru Wang

Nina Deliu

Yusuke Narita

Bibhas Chakraborty

2024/3

A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial

Statistical Methods in Medical Research

Erina Paul

Bibhas Chakraborty

Alla Sikorskii

Samiran Ghosh

2024/2/23

The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial

PLOS Digital Health

Marvyn Arévalo Avalos

Jing Xu

Caroline Figueroa

Alein Haro-Ramos

Bibhas Chakraborty

...

2024

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

BMC Public Health

Amudha Aravindhan

Eva K Fenwick

Aurora Wing Dan Chan

Ryan Eyn Kidd Man

Ngiap Chuan Tan

...

2024/3/13

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes

arXiv preprint arXiv:2310.18905

Xueqing Liu

Tianchen Qian

Lauren Bell

Bibhas Chakraborty

2023/10/29

Skew Probabilistic Neural Networks for Learning from Imbalanced Data

arXiv preprint arXiv:2312.05878

Shraddha M Naik

Tanujit Chakraborty

Abdenour Hadid

Bibhas Chakraborty

2023/12/10

A study of the impact of policy interventions on daily COVID scenario in India using interrupted time series analysis

Epidemiologic Methods

Subhankar Chattopadhyay

Debika Ghosh

Raju Maiti

Samarjit Das

Atanu Biswas

...

2023/1/27

A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

STAR protocols

Feng Xie

Yilin Ning

Mingxuan Liu

Siqi Li

Seyed Ehsan Saffari

...

2023/6/16

Testing the Effects of App-Based Motivational Messages on Physical Activity and Resting Heart Rate Through Smartphone App Compliance in Patients With Vulnerable Coronary Artery …

JMIR Research Protocols

Sayan Mitra

Cynthia Kroeger

Jing Xu

Leah Avery

Andrius Masedunkas

...

2023/7/24

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review

Siqi Li

Pinyan Liu

Gustavo G Nascimento

Xinru Wang

Fabio Renato Manzolli Leite

...

2023/12/1

The sequential multiple assignment randomized trial for controlling infectious diseases: a review of recent developments

Xinru Wang

Bibhas Chakraborty

2023/1

Participant engagement in microrandomized trials of mHealth interventions: scoping review

Utek Leong

Bibhas Chakraborty

2023/5/22

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

BMJ open

Parya Saberi

Marie CD Stoner

Caravella L McCuistian

Celeste Balaban

Kristin Ming

...

2023/10/1

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study

arXiv preprint arXiv:2311.14359

Xueqing Liu

Nina Deliu

Tanujit Chakraborty

Lauren Bell

Bibhas Chakraborty

2023/11/24

Microrandomized trials: developing just-in-time adaptive interventions for better public health

American Journal of Public Health

Xueqing Liu

Nina Deliu

Bibhas Chakraborty

2023/1

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Mingxuan Liu

Siqi Li

Han Yuan

Marcus Eng Hock Ong

Yilin Ning

...

2023/5/22

FedScore: A privacy-preserving framework for federated scoring system development

Journal of Biomedical Informatics

Siqi Li

Yilin Ning

Marcus Eng Hock Ong

Bibhas Chakraborty

Chuan Hong

...

2023/10/1

SMART-EXAM: Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials

WANG Xinru

Nina Deliu

NARITA Yusuke

Bibhas Chakraborty

2023/11

See List of Professors in Bibhas Chakraborty University(National University of Singapore)

Co-Authors

H-index: 89
Roderick Little

Roderick Little

University of Michigan-Dearborn

H-index: 73
Ira Lamster

Ira Lamster

Columbia University in the City of New York

H-index: 71
Linda M. Collins

Linda M. Collins

New York University

H-index: 65
Susan Murphy

Susan Murphy

Harvard University

H-index: 62
Ovide Pomerleau

Ovide Pomerleau

University of Michigan-Dearborn

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