AI for healthcare with Keras and Tensorflow 2.0 : design, develop, and deploy machine learning models using healthcare data / Anshik.
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries. This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers....
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| Format: | Ebook |
| Language: | English |
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[Berkeley] :
Apress,
[2021]
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| Online Access: | Springer eBooks |
Table of Contents:
- Chapter 1: Healthcare Market: A Primer
- Chapter 2: Introduction and Setup
- Chapter 3: Predicting Hospital Readmission by Analyzing Patient EHR Records
- Chapter 4: Predicting Medical Billing Codes from Clinical Notes
- Chapter 5: Extracting Structured Data from Receipt Images Using a Graph Convolutional Network
- Chapter 6: Handling Availability of Low-Training Data in Healthcare
- Chapter 7: Federated Learning and Healthcare.
- Chapter 8: Medical Imaging
- Chapter 9: Machines Have All the Answers, Except What's the Purpose of Life?
- Chapter 10: You Need an Audience Now.