Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response

基于机器学习分类器的智能数学模型在医疗保健大数据快速响应中的有效性

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Abstract

In the past few years, big data related to healthcare has become more important, due to the abundance of data, the increasing cost of healthcare, and the privacy of healthcare. Create, analyze, and process large and complex data that cannot be processed by traditional methods. The proposed method is based on classifying data into several classes using the data weight derived from the features extracted from the big data. Three important criteria were used to evaluate the study as well as to benchmark the current study with previous studies using a standard dataset.

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