Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizationsKey Features⢠Learn about healthcare industry challenges and how machine learning can solve them⢠Explore AWS machine learning services and their applications in healthcare and life sciences⢠Discover practical coding instructions to implement machine learning for healthcare and life sciencesBook DescriptionWhile machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics.This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications.By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.What you will learn⢠Explore the healthcare and life sciences industry⢠Find out about the key applications of AI in different industry segments⢠Apply AI to medical images, clinical notes, and patient data⢠Discover security, privacy, fairness, and explainability best practices⢠Explore the AWS ML stack and key AI services for the industry⢠Develop practical ML skills using code and AWS services⢠Discover all about industry regulatory requirementsWho this book is forThis book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.
- 224 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Applied Machine Learning for Healthcare and Life Sciences Using AWS
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Table of contents
- Applied Machine Learning for Healthcare and Life Sciences Using AWS
- Contributors
- Preface
- Part 1: Introduction to Machine Learning on AWS
- 1
- 2
- Part 2: Machine Learning Applications in the Healthcare Industry
- 3
- 4
- 5
- 6
- Part 3: Machine Learning Applications in the Life Sciences Industry
- 7
- 8
- 9
- 10
- Part 4: Challenges and the Future of AI in Healthcare and Life Sciences
- 11
- 12
- Index
- Other Books You May Enjoy
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Yes, you can access Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal Ratan in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.