📗 Libro en inglés MACHINE LEARNING IN HEALTHCARE

Artificial intelligence AI and machine learning ML techniques play an important role in our daily lives by enhancing predictions and decision making for the public in several fields such as financial services real estate business consumer goods social media etc Despite several studies that have proved the efficacy of AI ML tools in providing improved healthcare solutions it has not gained the trust of health care practitioners and medical scientists This is due to poor reporting of the technology variability in medical data small datasets and lack of standard guidelines for application of AI Therefore the development of new AI ML tools for various domains of medicine is an ongoing field of research Machine Learning in Healthcare Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems Healthcare applications of AI are innumerable medical data analysis early detection and diagnosis of disease providing objective based evidence to reduce human errors curtailing inter and intra observer errors risk identification and interventions for healthcare management real time health monitoring assisting clinicians and patients for selecting appropriate medications and eval