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portada Hands-On Healthcare Data: Taming the Complexity of Real-World Data
Type
Physical Book
Author
Publisher
Language
English
Pages
200
Format
Paperback
Dimensions
23.1x17.3x1.5 cm
Weight
0.40 kg.
ISBN13
9781098112929
Edition No.
1
Categories

Hands-On Healthcare Data: Taming the Complexity of Real-World Data

Andrew Nguyen (Author) · O'Reilly Media · Paperback

Hands-On Healthcare Data: Taming the Complexity of Real-World Data - Nguyen, Andrew

New Book Imported to Austria
Delivery: 15 Sep - 17 Sep Shipping: 1 to 2 business days.
92,14 €
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92,14 €

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Synopsis "Hands-On Healthcare Data: Taming the Complexity of Real-World Data "

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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