Andrew Nguyen - Hands-On Healthcare Data: Taming the Complexity of Real-World Data
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Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, youll be able to solve healthcares most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underservedonce 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. Youll discover how graph technologies help you connect disparate data sources so you can solve healthcares most challenging problems using advanced analytics.
With this book, youll learn:
- The 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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