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Bibhas Chakraborty

national university of singapore

33H指数
213论文数
4.5K被引数
收录论文 53
发表时间
Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice通过培训协作生物统计学家以增强其统计影响力,提升团队科学水平
err2025-12-15
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errPomann, Gina-Maria; Grambow, Steven C.; Ashner, Marissa C.; Chakraborty, Bibhas; Liu, Nan; Neely, Megan L.; Peskoe, Sarah; Rende, Lacey; Slade, Emily; Truong, Tracy; Yang, Lexie Zidanyue; Samsa, Greg P.; Troy, Jesse D.
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Developing federated time-to-event scores using heterogeneous real-world survival data开发基于异构真实世界生存数据的联邦时间-事件评分
err2025-09-22
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PREAI
errSiqi Li; Ziwen Wang; Yuqing Shang; Qiming Wu; Chuan Hong; Yilin Ning; Di Miao; Marcus Eng Hock Ong; Bibhas Chakraborty; Nan Liu
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Screening for depressive disorders: Validation of the Patient Health Questionnaire for Adolescents (PHQ-A) in a population-based multi-ethnic Asian sample筛查抑郁症:在基于人群的多民族亚洲样本中验证青少年健康问卷(PHQ-A)
err2025-06-01
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PREAI
errSung, Sharon C.; Ang, Felicia Jia Ler; Liu, Xueqing; Chakraborty, Bibhas; Wong, John Chee Meng; Fung, Daniel Shuen Sheng; Ong, Say How; Tian, Cheong Sing; Kom, Dennis; Fee, Victoria; Liang, Shen; Lei, Natalie Cheok Ling; Teoh, Jie Yu; Yap, Qai Ven; Du, RuoChen; Yap, Natalie Hui Jing; Wan, Michelle Jing Si; Bin Sachiman, Muhammad Nabil Syukri; Sii, Nicholas En-Ping; Kroneman, Leoniek M.; Teng, Jia Ying; Ng, Tze Pin; Verhulst, Frank
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Skew-probabilistic neural networks for learning from imbalanced data偏斜概率神经网络用于学习不平衡数据
err2025-05-24
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PREAI
errNaik, Shraddha M.; Chakraborty, Tanujit; Panja, Madhurima; Hadid, Abdenour; Chakraborty, Bibhas
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A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses
err2024-12-18
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errLiu, Pinyan; Yuan, Han; Ning, Yilin; Chakraborty, Bibhas; Liu, Nan; Peres, Marco Aurelio
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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 Clinical Trial利用强化学习的数字健康干预的有效性: 糖尿病和精神卫生自适应通知跟踪和评估 (DIAMANTE) 随机临床试验的结果
err2024-10-08
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errAguilera, Adrian; Avalos, Marvyn Arevalo; Xu, Jing; Chakraborty, Bibhas; Figueroa, Caroline; Garcia, Faviola; Rosales, Karina; Hermandez-Ramos, Rosa; Karr, Chris; Williams, Joseph; Ochoa-Frongia, Lisa; Sarkar, Urmimala; Yom-Tov, Elad; Lyles, Courtney
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FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare
err2024-10-01
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errLiu, Mingxuan; Ning, Yilin; Ke, Yuhe; Shang, Yuqing; Chakraborty, Bibhas; Ong, Marcus Eng Hock; Vaughan, Roger; Liu, Nan
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Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study
err2024-03-13
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errAravindhan, 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.
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FedScore: A privacy-preserving framework for federated scoring system development
err2023-10-01
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errLi, Siqi; Ning, Yilin; Ong, Marcus Eng Hock; Chakraborty, Bibhas; Hong, Chuan; Xie, Feng; Yuan, Han; Liu, Mingxuan; Buckland, Daniel M.; Chen, Yong; Liu, Nan
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COVID-19 may have increased global support for universal health coverage: multi-country observational study
err2023-08-25
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errNisa, Claudia F.; Yan, Xiaoxi; Chakraborty, Bibhas; Leander, Pontus; Belanger, Jocelyn J.
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Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques处理医疗保健数据中的缺失值: 基于深度学习的插补技术的系统综述
err2023-08-01
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errLiu, Mingxuan; Li, Siqi; Yuan, Han; Ong, Marcus Eng Hock; Ning, Yilin; Xie, Feng; Saffari, Seyed Ehsan; Shang, Yuqing; Volovici, Victor; Chakraborty, Bibhas; Liu, Nan
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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
err2022-12-16
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errSung, Sharon C. 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
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AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes
err2022-11-04
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errSaffari, Seyed Ehsan; Ning, Yilin; Xie, Feng; Chakraborty, Bibhas; Volovici, Victor; Vaughan, Roger; Ong, Marcus Eng Hock; Liu, Nan
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Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department
err2022-05-02
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errAng, Yukai; Li, Siqi; Ong, Marcus Eng Hock; Xie, Feng; Teo, Su Hooi; Choong, Lina; Koniman, Riece; Chakraborty, Bibhas; Ho, Andrew Fu Wah; Liu, Nan
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AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
err2022-05-01
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errYuan, Han; Xie, Feng; Ong, Marcus Eng Hock; Ning, Yilin; Chee, Marcel Lucas; Saffari, Seyed Ehsan; Abdullah, Hairil Rizal; Goldstein, Benjamin Alan; Chakraborty, Bibhas; Liu, Nan
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Shapley variable importance cloud for interpretable machine learning用于可解释机器学习的Shapley变量重要性云
err2022-04-01
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errNing, Yilin; Ong, Marcus Eng Hock; Chakraborty, Bibhas; Goldstein, Benjamin Alan; Ting, Daniel Shu Wei; Vaughan, Roger; Liu, Nan
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