Items related to Hands-On Healthcare Data: Taming the Complexity of...
- PublisherO'Reilly Media
- Publication date2022
- ISBN 10 109811292X
- ISBN 13 9781098112929
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages242
- Rating
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Hands-On Healthcare Data: Taming the Complexity of Real-World Data
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Hands-On Healthcare Data: Taming the Complexity of Real-World Data (Paperback or Softback)
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ISBN 10: 109811292X
ISBN 13: 9781098112929
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Hands-On Healthcare Data (Paperback)
Published by
O'Reilly Media, Sebastopol, 2022
ISBN 10: 109811292X
ISBN 13: 9781098112929
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Paperback. Condition: new. Paperback. 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 - once you 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 normalizing 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.With this book, you'll learn:The different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims dataThe challenges of working with healthcare data, especially when trying to aggregate data from multiple sourcesCurrent options for extracting structured data from clinical textHow to make trade-offs when using tools and frameworks for normalizing structured healthcare dataHow to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific machine learning and deep learning examples with a focus on producing high-quality data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781098112929
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