| Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis EP Ephzibah arXiv preprint arXiv:1103.0087, 2011 | 98 | 2011 |
| Heart disease prediction using hybrid genetic fuzzy model T Santhanam, EP Ephzibah Indian Journal of Science and Technology 8 (9), 797, 2015 | 76 | 2015 |
| A neuro fuzzy expert system for heart disease diagnosis EP Ephzibah, V Sundarapandian Computer Science & Engineering 2 (1), 17, 2012 | 46 | 2012 |
| Heart disease classification using PCA and feed forward neural networks T Santhanam, EP Ephzibah Mining Intelligence and Knowledge Exploration: First International …, 2013 | 36 | 2013 |
| Framing fuzzy rules using support sets for effective heart disease diagnosis EP Ephzibah, DV Sundarapandian International Journal of Fuzzy Logic Systems (IJFLS) Vol 2, 2012 | 27 | 2012 |
| Cost effective approach on feature selection using genetic algorithms and LS-SVM classifier EP Ephzibah IJCA Special Issue on Evolutionary Computation for Optimization Techniques …, 2010 | 23 | 2010 |
| Time complexity analysis of genetic- fuzzy system for disease diagnosis EP Ephzibah Advanced Computing 2 (4), 2011 | 17 | 2011 |
| A hybrid genetic-fuzzy expert system for effective heart disease diagnosis EP Ephzibah International Conference on Advances in Computing and Information Technology …, 2011 | 16 | 2011 |
| Big data management with machine learning inscribed by domain knowledge for health care EP Ephzibah, R Sujatha International Journal of Engineering & Technology 6 (4), 98-102, 2017 | 14 | 2017 |
| An expert system for heart disease diagnosis using neuro-fuzzy technique EP Ephzibah, V Sundarapandian International Journal on Soft Computing, Artificial Intelligence and …, 2012 | 14 | 2012 |
| Comparative study on dimensionality reduction for disease diagnosis using fuzzy classifier R Sujatha, EP Ephzibah, S Dharinya, G Uma Maheswari, V Mareeswari, ... International Journal of Engineering and Technology 7 (1), 79-84, 2018 | 13 | 2018 |
| Machine intelligence and automation: deep learning concepts aiding industrial applications S Sree Dharinya, EP Ephzibah Internet of Things for Industry 4.0: Design, Challenges and Solutions, 237-248, 2020 | 7 | 2020 |
| A narrative review of medical image processing by deep learning models: origin to COVID-19 V Mareeswari, R Vijayan, E Sathiyamoorthy, EP Ephzibah International Journal of Advanced Technology and Engineering Exploration 9 …, 2022 | 6 | 2022 |
| IoTBDs Applications: Smart Transportation, Smart Healthcare, Smart Grid, Smart Inventory System, Smart Cities, Smart Manufacturing, Smart Retail, Smart Agriculture, Etc. R Sujatha, EP Ephzibah, SS Dharinya The Internet of Things and Big Data Analytics, 275-300, 2020 | 6 | 2020 |
| Decision making models through AI for internet of things EP Ephzibah, S Sree Dharinya, L Remya Internet of Things for Industry 4.0: Design, Challenges and Solutions, 57-72, 2020 | 6 | 2020 |
| Assisting blind people using machine learning algorithms EP Ephzibah Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (8 …, 2021 | 4 | 2021 |
| The role of metaheuristic algorithms in healthcare GU Maheswari, R Sujatha, V Mareeswari, EP Ephzibah Machine Learning for Healthcare, 25-40, 2020 | 4 | 2020 |
| Smart Health Care Development: Challenges and Solutions R Sujatha, EP Ephzibah, SS Dharinya Role of Edge Analytics in Sustainable Smart City Development: Challenges and …, 2020 | 4 | 2020 |
| Framework of an intelligent job recommendation system E EP Proceedings of International Conference on Sustainable Computing in Science …, 2019 | 4 | 2019 |
| A study on the analysis of genetic algorithms with various classification techniques for feature selection EP Ephzibah, B Sarojini, JE Sheela Int. J. Comput. Appl 8 (8), 33, 2010 | 4 | 2010 |
