| An ensemble machine learning approach for predicting type-II diabetes mellitus based on lifestyle indicators SM Ganie, MB Malik Healthcare Analytics 2, 100092, 2022 | 96 | 2022 |
| Performance analysis of deep learning algorithms in diagnosis of malaria disease K Hemachandran, A Alasiry, M Marzougui, SM Ganie, AA Pise, ... Diagnostics 13 (3), 534, 2023 | 76 | 2023 |
| An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms. SM Ganie, PKD Pramanik, MB Malik, A Nayyar, KS Kwak Comput. Syst. Sci. Eng. 46 (3), 3993-4006, 2023 | 50 | 2023 |
| Comparative analysis of various supervised machine learning algorithms for the early prediction of type-II diabetes mellitus SM Ganie, MB Malik International Journal of Medical Engineering and Informatics 14 (6), 473-483, 2022 | 43 | 2022 |
| Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches SM Ganie, MB Malik, T Arif Journal of Diabetes & Metabolic Disorders 21 (1), 339-352, 2022 | 42 | 2022 |
| Early detection of cardiovascular disease using machine learning techniques an experimental study N Nissa, S Jamwal, S Mohammad Int. J. Recent Technol. Eng 9 (3), 635-641, 2020 | 38 | 2020 |
| An ensemble learning approach for diabetes prediction using boosting techniques SM Ganie, PKD Pramanik, M Bashir Malik, S Mallik, H Qin Frontiers in Genetics 14, 1252159, 2023 | 36 | 2023 |
| Machine learning techniques for diagnosis of type 2 diabetes using lifestyle data SM Ganie, MB Malik, T Arif International Conference on Innovative Computing and Communications …, 2021 | 32 | 2021 |
| Chronic kidney disease prediction using boosting techniques based on clinical parameters SM Ganie, PK Dutta Pramanik, S Mallik, Z Zhao Plos one 18 (12), e0295234, 2023 | 25 | 2023 |
| Artificial intelligence solutions for the visually impaired: a review S Kumar, DN Mishra, SM Ganie, R Bharathikannan, K Vijayakanthan Handbook of Research on AI and Knowledge Engineering for Real-Time Business …, 2023 | 23 | 2023 |
| Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data MB Malik, SM Ganie, T Arif Predictive Modeling in Biomedical Data Mining and Analysis, 295-311, 2022 | 21 | 2022 |
| Various platforms and machine learning techniques for big data analytics: a technological survey SM Ganie, MB Malik, T Arif Int J Scientific Res Comput Sci Eng Inform Technol 3 (6), 679-87, 2018 | 18 | 2018 |
| A comparative analysis of boosting algorithms for chronic liver disease prediction SM Ganie, PKD Pramanik Healthcare Analytics 5, 100313, 2024 | 13 | 2024 |
| VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images A Saha, SM Ganie, PKD Pramanik, RK Yadav, S Mallik, Z Zhao BMC medical imaging 24 (1), 120, 2024 | 12 | 2024 |
| Machine learning techniques for big data analytics in healthcare: current scenario and future prospects SM Ganie, MB Malik, T Arif Telemedicine: The Computer Transformation of Healthcare, 103-123, 2022 | 12 | 2022 |
| Early prediction of diabetes mellitus using various artificial intelligence techniques: a technological review SM Ganie, MB Malik, T Arif International Journal of Business Intelligence and Systems Engineering 1 (4 …, 2021 | 11 | 2021 |
| An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators. Healthcare Analytics, 2, 100092 SM Ganie, MB Malik | 10 | 2022 |
| Heart disease prediction using machine learning techniques N Nissa, S Jamwal, S Mohammad Wesleyan J Res 13, 67, 2021 | 10 | 2021 |
| Predicting chronic liver disease using boosting technique SM Ganie, PKD Pramanik 2023 International Conference on Artificial Intelligence for Innovations in …, 2023 | 4 | 2023 |
| An ensemble machine learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators, Healthc. Anal. 2 (2022) 100092 SM Ganie, MB Malik | 4 | 2022 |
Majid Bashir MalikDepartment of Computer Sciences, BGSB University, Rajouri, J & K , IndiaVerified email at bgsbu.ac.in
