Healthcare Solutions Using Machine Learning and Informatics (eBook, PDF)

Redaktion: Gupta, Punit; Verma, Rohit; Kumar Saini, Dinesh

• Format: PDF

Produktbeschreibung

Focuses on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 266
• Erscheinungstermin: 21. Oktober 2022
• Englisch
• ISBN-13: 9781000765489
• Artikelnr.: 65448617

Autorenporträt

Dr. Punit Gupta is an Associate Professor in the Department of Computer and Communication Engineering at Manipal University, Jaipur, India. Dr. Dinesh Kumar Saini is a Professor in the Department of Computer and Communication Engineering at Manipal University, Jaipur, India. Dr. Rohit Verma is affiliated with the INSIGHT Research Lab SFI, Dublin City University, Dublin, Ireland.

Inhaltsangabe

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