Shreya Chakrabarti

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Clinical Studies

Top Venues

J. Heal. Informatics Res.

Publications

Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti
Neural Insights for Digital Marketing Content Design. KDD (2023)
Congrui Yi, David Zumwalt, Zijian Ni, Shreya Chakrabarti
Progressive Horizon Learning: Adaptive Long Term Optimization for Personalized Recommendation. RecSys (2023)
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao
Neural Insights for Digital Marketing Content Design. CoRR (2023)
Rahul Makhijani, Shreya Chakrabarti, Dale Struble, Yi Liu
LORE: a large-scale offer recommendation engine with eligibility and capacity constraints. RecSys (2019)
Anando Sen, Andrew Goldstein, Shreya Chakrabarti, Ning Shang, Tian Kang, Anil Yaman, Patrick B. Ryan, Chunhua Weng
The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Shreya Chakrabarti, Anando Sen, Vojtech Huser, Gregory William Hruby, Alexander Rusanov, David J. Albers, Chunhua Weng
An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0. J. Heal. Informatics Res. 1 (1) (2017)
Anil Yaman, Shreya Chakrabarti, Anando Sen, Chunhua Weng
How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time? CRI (2016)
Anando Sen, Shreya Chakrabarti, Andrew Goldstein, Shuang Wang, Patrick B. Ryan, Chunhua Weng
GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. J. Biomed. Informatics 63 (2016)