Machine Learning and IoT in Precision Healthcare

Precision healthcare, also called customized medicine, strives to give specialized medical interventions and therapies to individual patients in light of their particular traits, genetic makeup, and environmental influences. By facilitating the collection, analysis, and use of extensive and real-time healthcare data, Machine Learning (ML) and Internet of Things (IoT) technologies have created new opportunities for achieving precision healthcare. ML algorithms are essential for processing huge volumes of heterogeneous data in precision healthcare, such as patient records, genomic profiles, medical imaging, sensor readings, and lifestyle data. Deep learning and machine learning techniques have shown impressive capabilities in disease diagnosis, risk prediction, treatment recommendation, and prognosis assessment. This chapter explores the crucial nexus between cutting-edge technologies and precision healthcare. It starts by going over the biological and behavioral aspects of precision healthcare, highlighting the importance of precision medicine. To meet the urgent need for innovation in the industry, machine learning, and IoT approaches are being examined as potent instruments in transforming the healthcare industry. The concluding section of this chapter highlights the profound impact of technology in enhancing the healthcare landscape.