Comparative Analysis of Machine Learning Models for Disease Detection using Blood Cell Images

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Abstract

This paper presents machine learning algorithms for blood test parameters estimation. The existing deep learning approaches for blood test parameters estimation are presented in this paper. The proposed machine learning algorithms for estimation of blood test parameters using blood cells images are described. The proposed deep learning algorithm for estimation of blood test parameters using blood cells images are described. The results and evaluations of the proposed model are presented. The machine learning algorithms decision trees, random forest, LightGBM, and SVM are proposed for blood test parameters estimation. While deep learning algorithm CNN is proposed for blood test parameters estimation in this research work.

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Keywords

Blood cells, decision trees, deep learning, machine learning, random forest, LightGBM, SVM