A Review and Analysis of IoT and Machine Learning Algorithms in the Brain Disease Diagnosis and Detection

Abstract

In this paper, a review and analysis were performed based on the Internet of Things (IoT) and machine learning algorithms for the brain disease diagnosis and detection. This paper covers different aspects of its applications in the direction of brain disease diagnosis and detection. This paper explores the opportunities through different sensor devices. The assessment and analysis were performed based on different parameters, which covers the parametric evaluation of IoT based sensor for the growth of the medical structures. It also covers the new challenges and prospective solutions with detailed discussion and analysis. It shows the detailed exploration of the applicability of artificial intelligence and machine learning.