Applied Machine Learning for Healthcare and Life Sciences Using AWS
AI has a transformational impact on our health and well-being, leading to some of the biggest breakthroughs of this decade. This book is a comprehensive guide filled with practical, hands-on examples to help you understand and apply AI to real-world problems in areas like provider efficiency, radiology, precision medicine, and genomics.
Offered by
Difficulty Level
Intermediate
Completion Time
7h28m
Language
English
About Book
Who Is This Book For?
This 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.
Applied Machine Learning for Healthcare and Life Sciences Using AWS
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 7h28m total length
Introducing Machine Learning and the AWS Machine Learning Stack
Exploring Key AWS Machine Learning Services for Healthcare and Life Sciences
Machine Learning for Patient Risk Stratification
Using Machine Learning to Improve Operational Efficiency for Healthcare Providers
Implementing Machine Learning for Healthcare Payors
Implementing Machine Learning for Medical Devices and Radiology Images
Applying Machine Learning to Genomics
Applying Machine Learning to Molecular Data
Applying Machine Learning to Clinical Trials and Pharmacovigilance
Utilizing Machine Learning in the Pharmaceutical Supply Chain
Understanding Common Industry Challenges and Solutions
Understanding Current Industry Trends and Future Applications
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