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.
Cite
CITATION STYLE
Al-Khasawneh, M. A., Bukhari, A., & Khasawneh, A. M. (2022). Retraction:Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response. Computational and Mathematical Methods in Medicine. John Wiley and Sons Ltd. https://doi.org/10.1155/2022/6927170
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