Hands-On Healthcare Data
Author: Andrew Nguyen
Publisher finelybook 出版社: O’Reilly Media; 1st edition (September 20, 2022)
Language 语言: English
Print Length 页数: 242 pages
ISBN-10: 109811292X
ISBN-13: 9781098112929
Book Description
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 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
