Predictive Analytics in Healthcare

Summary

The chapter explores a number of use scenarios, including the prediction of patient readmission, early disease identification, and customized treatment regimens. It also look at the privacy and ethical issues that come up whenusing patient data, in addition to regulatory issues. Lastly, it talk about possible developments and future trends in predictive analytics, such as the fusion of machine learning and artificial intelligence, and how these tools can further transform the way healthcare is provided. By offeringinsights and foresights into patient outcomes, healthcare operations, and disease management, predictive analytics is revolutionizing the healthcare industry. The use of predictive analytics in healthcare is examined in this chapter, with an emphasis on how it can loitr costs and enhancepatient care. It go over the fundamental ideas and methods of predictive analytics, such as data gathering, modeling strategies, and assessment metrics.