K. Shankar, Eswaran Perumal, Deepak Gupta

Artificial Intelligence for the Internet of Health Things (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book discusses research of Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 216
• Erscheinungstermin: 9. Mai 2021
• Englisch
• ISBN-13: 9781000374339
• Artikelnr.: 61314618

Autorenporträt

K. Shankar (Member, IEEE) is a Postdoctoral Fellow of Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is working as an Assistant Professor of Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is working as an Assistant Professor of Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Inhaltsangabe

1. Artificial Intelligence (AI) for IoHT - an Introduction.
2. Role of Internet of Things and Cloud Computing Technologies in the
Healthcare Sector.
3. An Extensive Overview of Wearable Technologies in Healthcare Sector.
4. IoHT and Cloud-Based Disease Diagnosis Model Using Particle Swarm
Optimization with Artificial Neural Networks.
5. IoHT-Based Improved Grey Optimization with Support Vector Machine for
Gastrointestinal Hemorrhage Detection and Diagnosis Model.
6. An Effective-Based Personalized Medicine Recommendation System Using
Ensemble of Extreme Learning Machine Model.
7. A Novel Map Reduce-Based Hybrid Decision Tree with TFIDF Algorithm for
Public Sentiment Mining of Diabetes Mellitus.
8. IoHT with Artificial Intelligence-Based Breast Cancer Diagnosis Model.
9. Artificial Intelligence with Cloud-Based Medical Image Retrieval System
Using Deep Neural Network.
10. IoHT with Cloud-Based Brain Tumor Detection Using Particle Swarm
Optimization with Support Vector Machine.
11. Artificial Intelligence-Based Hough Transform with an Adaptive
Neuro-Fuzzy Inference System for a Diabetic Retinopathy Classification
Model.
12. An IoHT-Based Intelligent Skin Lesion Detection and Classification
Model in Dermoscopic Images.
13. An IoHT-Based Image Compression Model Using Modified Cuckoo Search
Algorithm with Vector Quantization.
14. An Effective Secure Medical Image Transmission Using Improved Particle
Swarm Optimization and Wavelet Transform.
15. IoHT with Wearable Devices-Based Feature Extraction and Deep Neural
Networks Classification Model for Heart Disease Diagnosis