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Healthcare Solutions Using Machine Learning and Informatics
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Main description:

Unique selling point: Combines theory with practice and applications for advanced intelligent healthcare informatics
Core audience: Researchers and academics in healthcare informatics and machine learning
Place in the market:
Reference work


Contents:

1. Introduction to Artificial Intelligence in Healthcare 2. Machine Learning in Radio Imagining 3. Solutions Using Machine Learning for Diabetes 4. A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction 5. Machine Learning Algorithm for Industry Using Image Sensing 6. Solutions Using Machine Learning For COVID-19 7. Big Data Analytics in Healthcare Data Processing 8. Reliable Biomedical Applications Using AI Models 9. Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart Farming 10. IoT Application for Healthcare 11. Machine Learning Algorithm for Diabetes Disease Prediction 12. Use of Machine Learning in Healthcare


PRODUCT DETAILS

ISBN-13: 9781032201986
Publisher: Taylor & Francis
Publication date: October, 2022
Pages: 254
Weight: 453g
Availability: Available
Subcategories: Epidemiology, General Practice

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