Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.

Youll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization.   Youll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. 

Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.

Arjun Panesar is the founder of Diabetes Digital Media (DDM), the worlds largest diabetes community and provider of evidence-based digital health interventions. Arjun holds a first-class honors degree (MEng) in Computing and Artificial Intelligence from Imperial College, London. Benefiting from a decade of experience in big data and affecting user outcomes, Arjun leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies and governments worldwide.