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Abstract

 Lung cancer is a major cause of cancer-linked death all over the world. The premature detection of cancer has shown to be significantly useful to cure the disease in an efficient manner. In this paper, the information related to lung cancer, machine learning algorithms, with Internet of Things (IoT) is seen. In the literature review section, the data collected from various papers are analyzed with different machine learning algorithms are used for detecting lung cancer. The review on several machine learning algorithms in order to detect different kinds of diseases is seen in the review section. In research gaps and challenges, the drawbacks related to the existing machine learning algorithms for detecting the disease and the information related to the further development of models for detecting various diseases in an efficient manner is presented.

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