Hands-On Healthcare Data : taming the complexity of real-world data / Andrew Nguyen.
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...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Sebastopol, CA :
O'Reilly Media,
2022.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Click here to access this resource online |
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| 505 | 0 | 0 | |g 1. |t Introduction to Healthcare Data -- |g 2. |t Technical Introduction -- |g 3. |t Standardized Vocabularies in Healthcare -- |g 4. |t Deep Dive: Electronic Health Records Data -- |g 5. |t Deep Dive: Claims Data -- |g 6. |t Machine Learning and Analytics -- |g 7. |t Trends in Healthcare Analytics -- |g 8. |t Graphs, Harmonization, and Some Final Thoughts. |
| 520 | |a 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. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on October 26, 2022). | ||
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