Abstract
AI (Artificial Intelligence) technologies help with diagnostic procedures, patient monitoring, drug development, personalised medicine, and global health pandemic prediction. Without explicit programming, machine learning enables the technology to enhance and expand. Moreover, machine learning algorithms may use e-health records to evaluate vast quantities of data, dubbed big-data, for illness detection and prediction. Medical devices are used to continually monitor and record a person’s health condition. In light of recent research, the goal of this study is to investigate the potential advantages of extensive data analytics and machine learning (ML). We looked for articles in the literature using multiple high-quality databases, including Google Scholar, Scopus, Web of science (WoS), Scopus and PubMed. This article covers the ML (machine learning), Big Data, and Blockchain Technology in health-care, population health, and medical surveillance.
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