| WITHDRAWN: Extensive analysis of machine learning algorithms to early detection of diabetic retinopathy SS Reddy, N Sethi, R Rajender, G Mahesh Materials Today: Proceedings, 2020 | 18 | 2020 |
| A COMPREHENSIVE ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR INCESSANT PREDICTION OF DIABETES MELLITUS nilambar sethi International Journal of Grid and Distributed Computing 13 (1), 2020 | 16 | 2020 |
| A data mining scheme for detection and classification of diabetes mellitus using voting expert strategy SS Reddy, R Rajender, N Sethi International journal of knowledge-based and intelligent engineering systems …, 2019 | 16 | 2019 |
| Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods N Sethi ICST Transactions on Scalable Information Systems, 2020 | 14 | 2020 |
| Evaluation of deep belief network to predict hospital readmission of diabetic patients SS Reddy, N Sethi, R Rajender 2020 Second International Conference on Inventive Research in Computing …, 2020 | 13 | 2020 |
| A review of data mining schemes for prediction of diabetes mellitus and correlated ailments SS Reddy, N Sethi, R Rajender 2019 5th International Conference on Computing, Communication, Control and …, 2019 | 13 | 2019 |
| Mining of multiple ailments correlated to diabetes mellitus SS Reddy, N Sethi, R Rajender Evolutionary Intelligence 14 (2), 733-740, 2021 | 11 | 2021 |
| Diabetes correlated renal fault prediction through deep learning SS Reddy, N Sethi, R Rajender EAI Endorsed Transactions on Pervasive Health and Technology 6 (24), e4-e4, 2020 | 11 | 2020 |
| Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction SS Reddy, N Sethi, R Rajender International Journal of Knowledge-based and Intelligent Engineering Systems …, 2021 | 10 | 2021 |
| Safe prediction of diabetes mellitus using weighted conglomeration of mining schemes SS Reddy, N Sethi, R Rajender 2020 4th International Conference on Electronics, Communication and …, 2020 | 9 | 2020 |
| Forecasting Diabetes Correlated Non-alcoholic Fatty Liver Disease by Exploiting Naïve Bayes Tree SS Reddy, N Sethi, R Rajender, G Mahesh EAI Endorsed Transactions on Scalable Information Systems 10 (1), e2-e2, 2023 | 8 | 2023 |
| Risk Assessment of myocardial infarction for diabetics through multi-aspects computing SS Reddy, N Sethi, R Rajender EAI Endorsed Transactions on Pervasive Health and Technology 6 (24), e3-e3, 2020 | 8 | 2020 |
| A centralized faulty node detection algorithm based on statistical analysis in WSN RK Shial, BS Gouda, SR Pattanaik, N Sethi 2020 International Conference on Computer Science, Engineering and …, 2020 | 8 | 2020 |
| A multi-aspect analysis and prediction scheme for cricket matches in standard T-20 format V Sivaramaraju Vetukuri, R Rajender, N Sethi International Journal of Knowledge-Based and Intelligent Engineering Systems …, 2019 | 7 | 2019 |
| A comparative study on serial and parallel web content mining B Panda, SN Tripathy, N Sethi, OP Samantray International Journal of Advanced Networking and Applications 7 (5), 2882, 2016 | 7 | 2016 |
| Probabilistic interpretation of complex fuzzy set N Sethi, SK Das, DC Panda Int. J. Comput. Sci. Eng. Inf. Technol 2 (2), 31-44, 2012 | 7 | 2012 |
| Non-invasive Diagnosis of Diabetes Using Chaotic Features and Genetic Learning SS Reddy, N Sethi, R Rajender, VSR Vetukuri International Conference on Image Processing and Capsule Networks, 161-170, 2022 | 6 | 2022 |
| Generic model for automated player selection for cricket teams using recurrent neural networks VS Vetukuri, N Sethi, R Rajender Evolutionary Intelligence 14, 971-978, 2021 | 5 | 2021 |
| Intelligent stuttering speech recognition: A succinct review N Banerjee, S Borah, N Sethi Multimedia Tools and Applications 81 (17), 24145-24166, 2022 | 3 | 2022 |
| A survey on detection of malicious nodes in wireless sensor networks M Sahu, N Sethi, SK Das 2022 6th International Conference on Trends in Electronics and Informatics …, 2022 | 3 | 2022 |
