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AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.

F. Xie, Y. Ning, H. Yuan, B. Goldstein, M. Ong, N. Liu, и B. Chakraborty. CoRR, (2021)

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Sourav Chakraborty

Dipanjan Chakraborty

Anirban Chakraborty

Diptangshu Chakraborty

Asok Chakraborty

Другие публикации лиц с тем же именем

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study.X. Liu, N. Deliu, T. Chakraborty, L. Bell, и B. Chakraborty. CoRR, (2023)Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.C. Figueroa, A. Aguilera, B. Chakraborty, A. Modiri, J. Aggarwal, N. Deliu, U. Sarkar, J. Williams, и C. Lyles. AMIA, AMIA, (2020)Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.M. Liu, Y. Ning, Y. Ke, Y. Shang, B. Chakraborty, M. Ong, R. Vaughan, и N. Liu. CoRR, (2024)Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.C. Figueroa, A. Aguilera, B. Chakraborty, A. Modiri, J. Aggarwal, N. Deliu, U. Sarkar, J. Williams, и C. Lyles. J. Am. Medical Informatics Assoc., 28 (6): 1225-1234 (2021)AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.F. Xie, Y. Ning, H. Yuan, B. Goldstein, M. Ong, N. Liu, и B. Chakraborty. CoRR, (2021)Development and Validation of a Survival Score for the Emergency Department in Singapore.F. Xie, B. Chakraborty, N. Liu, и M. Ong. AMIA, AMIA, (2021)Preface to the 1st International Workshop on Algorithmic Behavior Change Support.N. Albers, A. Abdulrahman, D. Richards, C. Figueroa, B. Chakraborty, A. Bhattacharjee, L. He, M. Neerincx, J. Williams, N. Younsi и 4 other автор(ы). PERSUASIVE (Adjunct), том 3728 из CEUR Workshop Proceedings, стр. 1-7. CEUR-WS.org, (2024)Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.M. Liu, S. Li, H. Yuan, M. Ong, Y. Ning, F. Xie, S. Saffari, Y. Shang, V. Volovici, B. Chakraborty и 1 other автор(ы). Artif. Intell. Medicine, (августа 2023)Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.F. Xie, H. Yuan, Y. Ning, M. Ong, M. Feng, W. Hsu, B. Chakraborty, и N. Liu. J. Biomed. Informatics, (2022)Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.F. Xie, J. Zhou, J. Lee, M. Tan, S. Li, L. Rajnthern, M. Chee, B. Chakraborty, A. Wong, A. Dagan и 3 other автор(ы). AMIA, AMIA, (2022)

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