Diabetes Prediction using Extreme Learning Machine: Application of Health Systems

Reddy, S; Reddy, K. V. Narasimha; Rao, S. Nagaraja; Kumar, K. S. M. V.

doi:10.1109/icssit55814.2023.10061058

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“…It can produce superior results on their dataset, and they found that the XGBoost classifier achieved an outstanding accuracy of 81% as compared to other classifiers. S. Nava Bharath Reddy et al's study [12] focused on applying the "extreme learning machine" (DP-ELM) model to investigate diabetes prediction. They applied pre-processing techniques to solve the issue of missing data in the Pima Indian diabetes dataset.…”

Section: Literature Surveymentioning

confidence: 99%