Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare. - Shruti Kaushik; Abhinav Choudhury; Nataraj Dasgupta; Sayee Natarajan; Larry A. Pickett; Varun Dutt (MLDM (1), 2018)

Comparative Analysis of Features Selection Techniques for Classification in Healthcare. - Shruti Kaushik; Abhinav Choudhury; Ashutosh Kumar Jatav; Nataraj Dasgupta; Sayee Natarajan; Larry A. Pickett; Varun Dutt (MLDM (2), 2019)

Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network. - Shruti Kaushik; Abhinav Choudhury; Sayee Natarajan; Larry A. Pickett; Varun Dutt (IEEE Access, 2020)

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures. - Shruti Kaushik; Abhinav Choudhury; Pankaj Kumar Sheron; Nataraj Dasgupta; Sayee Natarajan; Larry A. Pickett; Varun Dutt (Frontiers Big Data, 2020)

MIRLR: An ensemble approach for predicting clinical trial enrollment rates. - Arti Devi; Shashank Uttrani; Aryansh Singla; Sarthak Jha; Preethi Ravula; Nataraj Dasgupta; Sayee Natarajan; Rajeshwari S. Punekar; Larry A. Pickett; Emilio Lapiello; Varun Dutt (ICCCNT, 2024)

Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency. - Arti Devi; Shashank Uttrani; Aryansh Singla; Sarthak Jha; Nataraj Dasgupta; Sayee Natarajan; Rajeshwari S. Punekar; Larry A. Pickett; Varun Dutt (ICMHI, 2024)

Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise. - Arti Devi; Shashank Uttrani; Aryansh Singla; Sarthak Jha; Nataraj Dasgupta; Sayee Natarajan; Rajeshwari S. Punekar; Larry A. Pickett; Varun Dutt (PETRA, 2024)