Machine Learning in Healthcare

Machine learning integration in healthcare has transformed technology for disease diagnosis, treatment, and management. This new book, Machine Learning in Healthcare: Advances and Prospects, explores the complex relationship between data science and medical science, highlighting the significant impact of machine learning algorithms in multiple areas of healthcare. The convergence of traditional and deep learning paradigms provides a look into a future in which predictive analytics and decision support systems will revolutionize healthcare delivery, demonstrating machine learnings promise in the medical industry.

Each chapter exemplifies the enormous possibilities made possible by computational technologies in various ways. These applications range from analyzing electronic health information to predicting, detecting, and treating cancer, cardiovascular disease, thyroid disorders, and diabetes. The exploration extends beyond conventional domains discussing topics such as wearable devices and mental health management through the use of machine learning technology.

Researchers and industry professionals working in data mining, healthcare and disease management, hospital management, data analytics, and computational technology will find value in this volume.