Mehak Gupta

18 papers A* 1B 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multimodal Data Processing Pipeline for MIMIC-IV Dataset.
CoRR
Farzana Islam Adiba, Varsha Danduri, Fahmida Liza Piya, Ali Abbasi, Mehak Gupta, Rahmatollah Beheshti
2025 J jnl
"Mirror" Language AI Models of Depression are Criterion-Contaminated.
CoRR
Tong Li, Rasiq Hussain, Mehak Gupta, Joshua R. Oltmanns
2025 — conf
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding.
MLHC
Nikkie Hooman, Zhongjie Wu, Eric C. Larson, Mehak Gupta
2025 J jnl
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding.
CoRR
Nikkie Hooman, Zhongjie Wu, Eric C. Larson, Mehak Gupta
2025 J jnl
Personality Prediction from Life Stories using Language Models.
CoRR
Rasiq Hussain, Jerry Ma, Rithik Khandelwal, Joshua R. Oltmanns, Mehak Gupta
2024 — conf
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.
ML4H@NeurIPS
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024 J jnl
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.
CoRR
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024 B conf
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks.
CHASE
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
2024 J jnl
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks.
CoRR
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
2022 — conf
An Extensive Data Processing Pipeline for MIMIC-IV.
ML4H@NeurIPS
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022 J jnl
An Extensive Data Processing Pipeline for MIMIC-IV.
CoRR
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022 — conf
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records.
MLHC
Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
2022 A* conf
Flexible-Window Predictions on Electronic Health Records.
AAAI
Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2022 J jnl
Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements.
ACM Trans. Comput. Heal.
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021 — conf
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction.
BCB
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021 — conf
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease.
BIBM
Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti
2020 J jnl
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks.
CoRR
Mehak Gupta, Rahmatollah Beheshti
2019 J jnl
Obesity Prediction with EHR Data: A deep learning approach with interpretability.
CoRR
Mehak Gupta, Thao-Ly T. Phan, George Datto, H. Timothy Bunnell, Rahmatollah Beheshti