Deep Learning for Predictive Analytics in Healthcare: Transforming Diagnosis and Treatment

Abstract

Deep learning analytics techniques have become more prevalent throughout healthcare to support diagnostic decisions and prognosis estimation while also optimizing treatment plans for patients. Deep learning utilizes neural networks and operates as a machine learning subset to process extensive amounts of data which enables powerful medical image examination and Electronic Health Records analysis and patient outcome assessment. The following research assesses deep learning functions for predictive healthcare analytics and details its implementation across medical environments while discussing practice integration limitations and ethical implications when deploying these solutions. The research examines deep learning capacity to improve patient care outcomes while minimizing healthcare expenses and tailoring treatment solutions while underscoring responsible usage of artificial intelligence in medical settings.