Affiliation:
1. BVRIT Hyderabad College of Engineering for Women, India
Abstract
Machine learning (ML) is a powerful tool that unveils hidden insights from internet of things (IoT) data. These technologies enhance decision-making in education, security, business, and healthcare. In healthcare, they automate tasks such as maintaining records, predicting diagnoses, and monitoring patients in real time. However, different ML algorithms perform differently on various datasets, influencing results and clinical decisions. Understanding these ML algorithms and their application in handling IoT data in healthcare is crucial. This chapter highlights key ML algorithms for classification and prediction, providing an in-depth overview of their role in analyzing IoT medical data. The analysis reveals that different ML prediction algorithms have unique limitations, necessitating careful selection based on the dataset type for accurate healthcare predictions. The chapter also illustrates the use of IoT and ML in predicting future healthcare trends.
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