Advanced Data Analytics in Healthcare: Integrating Machine Learning, Security, and Ethical AI

Abstract

Healthcare Advanced data analytics is an integration of machine learning, big data, security, and ethical AI to enhance the diagnosis, treatment, and decision-making processes. The transformation of conventional records to electronic systems such as EHRs, wearable technology, and genomic data has made predictive and personal medicine possible. Clinical accuracy is improved by machine learning, and patient data is safeguarded by security measures, which prevent the loss of sensitive information to cyber criminals. The ethical issues like the presence of bias, the lack of transparency, and the absence of patient consent can guarantee the responsible use of AI. The emerging technologies, including federated learning and block chain, provide future improvements, which will drive a secure, efficient, and patient-centered health system.