A Survey on Classification Techniques For Diabetes Detection

Mani Butwall, Shraddha Kumar

Abstract


The diagnoses of diseases are subjected to human expertise in developing countries like India, Nepal, Kazakhstan, Iran, North Korea etc. The limited resources in the health care institutes motivate the study for various alternatives that are feasible to be implemented at low cost. In this paper, various data algorithms are compared for Diabetes detection in human body. The algorithms are computational excellence that could be implemented without considerable overhead expanses of setup. The support vector machine algorithm, neural network algorithm and random forest are studied from their sources and comparisons are made based on their performance analysis

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