| Description |
1 online resource (200 pages) : illustrations |
| Summary |
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 |
| Subject |
Medical informatics -- Research
|
|
Medicine -- Data processing.
|
|
Medicine -- Data processing
|
| Form |
Electronic book
|
| ISBN |
9781098112899 |
|
109811289X |
|
