101 citations · 119 across the 7 of their papers we have counts for
7 papers
A Multimodal Data Processing Pipeline for MIMIC-IV Dataset
Farzana Islam Adiba, Varsha Danduri, Fahmida Liza Piya +3
The MIMIC-IV dataset is a large, publicly available electronic health record (EHR) resource widely used for clinical machine learning research. It comprises multiple modalities, in…
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez +4
Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them engage in timely preventive interventions before the disease is established. Many…
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
While electronic health records (EHRs) are widely used across various applications in healthcare, most applications use the EHRs in their raw (tabular) format. Relying on raw or si…
An Extensive Data Processing Pipeline for MIMIC-IV
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona +3
An increasing amount of research is being devoted to applying machine learning methods to electronic health record (EHR) data for various clinical purposes. This growing area of re…
Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India
Mehak Gupta, Shayan Saifi, Konark Verma +2
Understanding what factors bring about socio-economic development may often suffer from the streetlight effect, of analyzing the effect of only those variables that have been measu…
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks
Mehak Gupta, Rahmatollah Beheshti
Multivariate time-series data are used in many classification and regression predictive tasks, and recurrent models have been widely used for such tasks. Most common recurrent mode…
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements
Mehak Gupta, Thao-Ly T. Phan, Timothy Bunnell +1
Childhood obesity is a major public health challenge. Early prediction and identification of the children at a high risk of developing childhood obesity may help in engaging earlie…