Shreya Chakrabarti
Affiliations: | Columbia University, New York, NY |
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Parents
Sign in to add mentorDean J. Krusienski | grad student | 2015 | Old Dominion University |
Chunhua Weng | post-doc | Columbia (Computational Biology Tree) |
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Publications
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Sen A, Goldstein A, Chakrabarti S, et al. (2017) The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. Journal of the American Medical Informatics Association : Jamia |
Chakrabarti S, Sen A, Huser V, et al. (2017) An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0. Journal of Healthcare Informatics Research. 1: 1-18 |
Brumberg JS, Krusienski DJ, Chakrabarti S, et al. (2016) Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task. Plos One. 11: e0166872 |
Sen A, Chakrabarti S, Goldstein A, et al. (2016) GIST 2.0: A Scalable Multi-trait Metric for Quantifying Population Representativeness of Individual Clinical Studies. Journal of Biomedical Informatics |
Sen A, Ryan PB, Goldstein A, et al. (2016) Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials. Annals of the New York Academy of Sciences |
Yaman A, Chakrabarti S, Sen A, et al. (2016) How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time? Amia Joint Summits On Translational Science Proceedings. Amia Summit On Translational Science. 2016: 269-78 |
Chakrabarti S, Sandberg HM, Brumberg JS, et al. (2015) Progress in speech decoding from the electrocorticogram Biomedical Engineering Letters. 5: 10-21 |