A data mining scheme for detection and classification of diabetes mellitus using voting expert strategy. - Shiva Shankar Reddy; R. Rajender; Nilambar Sethi (Int. J. Knowl. Based Intell. Eng. Syst., 2019)

A multi-aspect analysis and prediction scheme for cricket matches in standard T-20 format. - V. Sivaramaraju Vetukuri; R. Rajender; Nilambar Sethi (Int. J. Knowl. Based Intell. Eng. Syst., 2019)

Risk Assessment of Myocardial Infarction for Diabetics through Multi-Aspects Computing. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender (EAI Endorsed Trans. Pervasive Health Technol., 2020)

Diabetes Correlated Renal Fault Prediction through Deep Learning. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender (EAI Endorsed Trans. Pervasive Health Technol., 2020)

Mining of multiple ailments correlated to diabetes mellitus. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender (Evol. Intell., 2021)

Generic model for automated player selection for cricket teams using recurrent neural networks. - V. Sivaramaraju Vetukuri; Nilambar Sethi; R. Rajender (Evol. Intell., 2021)

Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender (Int. J. Knowl. Based Intell. Eng. Syst., 2021)

Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender (EAI Endorsed Trans. Scalable Inf. Syst., 2021)

Forecasting Diabetes Correlated Non-alcoholic Fatty Liver Disease by Exploiting Naïve Bayes Tree. - Shiva Shankar Reddy; Nilambar Sethi; R. Rajender; Gadiraju Mahesh (EAI Endorsed Trans. Scalable Inf. Syst., 2022)