Explore the theory and practical applications of AI and machine learning in healthcare. The book offers a guided tour of algorithms and architectures that are key to data science in healthcare, as well as applications of learning in healthcare.
You'll review the ethical dilemmas that can come up when assessing healthcare data, as well as the future of artificial intelligence in optimizing health. Machine Learning and AI for Healthcare provides methods and concrete tips on how to evaluate the efficacy, suitability, and success of their AI and machine learning applications. These are illustrated by case studies, including one showing how chronic disease is being redefined through patient-led data learning and the Internet of Things.
What You'll Learn
- Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare.
- Implement machine learning systems, such as speech recognition and enhanced deep learning/AI
- Select learning methods/algorithms and tuning for use in healthcare
- Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents
Who This Book Is For
Those interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.