Machine Learning Analysis for Data Incompleteness (MADI): Analyzing the Data Completeness of Patient Records Using a Random Variable Approach to Predict the Incompleteness of Electronic Health Records. - Varadraj Prabhu Gurupur; Muhammed Shelleh (IEEE Access, 2021)

PC-LSTM: Ontology-based Long Short-Term Memory State Model for Data Incompleteness Prediction. - Muhammed Shelleh; Varadraj Prabhu Gurupur (EMBC, 2022)

THNN - A Neural Network Model for Telehealth Data Incompleteness Prediction. - Varadraj Prabhu Gurupur; Muhammed Shelleh; Christopher Leone; Daniel Schupp-Omid; Roger Azevedo; Shashank Dubey (EMBC, 2023)