Description
Book Synopsis: Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.
This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics.
You'll learn:
- Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data
- The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources
- Current options for extracting structured data from clinical text
- How to make trade-offs when using tools and frameworks for normalizing structured healthcare data
- How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
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Details
Are you ready to revolutionize the healthcare industry? Introducing our groundbreaking book, "Hands-On Healthcare Data: Taming the Complexity of Real-World Data." With the latest advancements in data science techniques, this book is your ultimate guide to harnessing the power of machine learning, deep learning, and natural language processing to tackle the most critical challenges in healthcare.
In this comprehensive guide, author Andrew Nguyen provides practical solutions for accessing and understanding healthcare data. From extraction to cleaning, and from harmonization to feature engineering, you'll gain invaluable insights into the entire data science process. Whether you're a healthcare professional or a data enthusiast, this book equips you with the necessary tools to reduce the cost of care, enhance patient treatment, and improve accessibility for underserved populations.
What sets this book apart is its focus on producing high-quality data. Nguyen delves into specific examples of machine learning and deep learning tailored to healthcare settings. By leveraging graph technologies, you'll learn how to connect disparate data sources and unlock advanced analytics capabilities. Discover the hidden patterns that can revolutionize healthcare decision-making and empower you to make a genuine impact in the field.
Don't miss out on this opportunity to become a data-driven healthcare expert. Unlock the potential of healthcare data today with "Hands-On Healthcare Data: Taming the Complexity of Real-World Data" and be at the forefront of the healthcare revolution. Find out more.
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