| Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques P Ghosh, S Azam, M Jonkman, A Karim, FMJM Shamrat, E Ignatious, ... IEEE Access 9, 19304-19326, 2021 | 357 | 2021 |
| Preprocessing of breast cancer images to create datasets for deep-CNN AR Beeravolu, S Azam, M Jonkman, B Shanmugam, K Kannoorpatti, ... IEEE Access 9, 33438-33463, 2021 | 81 | 2021 |
| A comprehensive unsupervised framework for chronic kidney disease prediction L Antony, S Azam, E Ignatious, R Quadir, AR Beeravolu, M Jonkman, ... IEEE Access 9, 126481-126501, 2021 | 37 | 2021 |
| A conceptual framework to ensure privacy in patient record management system FH Semantha, S Azam, B Shanmugam, KC Yeo, AR Beeravolu IEEE Access 9, 165667-165689, 2021 | 16 | 2021 |
| A robust deep learning based prediction system of heart disease using a combination of five datasets R Biswas, AR Beeravolu, A Karim, S Azam, MT Hasan, MS Alam, P Ghosh 2021 31st International conference on computer theory and applications …, 2021 | 5 | 2021 |
| Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children A Beeravolu, S Azam, M Jonkman, IB Masters, RJ Thomas, AB Chang, ... IEEE Access, 2023 | | 2023 |
| A Conceptual Framework to Ensure Privacy in Patient Record Management System B SHANMUGAM, KC YEO, AR BEERAVOLU | | |
