Review of the Function of Machine Learning in the Smart Healthcare Sector

Rama Chopra

Abstract


The development of technology has provided us with clear evidence and demonstration of how the health sector might be better prepared for human usage. Numerous research have made use of the Internet of Things (IoT) and the strength of supervised, semi-supervised, and unsupervised machine learning algorithms to extract meaningful knowledge from healthcare data that is further helpful in making the appropriate judgements. IoT and machine learning algorithms are the only two fields that, when combined, can provide solutions to issues in any smart healthcare system by offering the following amenities: earlier disease detection, improved treatment outcomes, better recommendations of services for patients based on historical patient data, monitoring of service quality, and also improvements in effectively and efficiently predicting outcomes.

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