Swarm Intelligence and Machine Learning (eBook, PDF)

Applications in Healthcare
Redaktion: Agarwal, Shikha; Kumar Gupta, Kamlesh; Le, Dac-Nhuong; Agrawal, Jitendra; Gupta, Manish

• Format: PDF

Produktbeschreibung

It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today's betterment compared to previous development in the technology.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 228
• Erscheinungstermin: 29. September 2022
• Englisch
• ISBN-13: 9781000737615
• Artikelnr.: 64273531

Autorenporträt

Shikha Agarwal, Dac-Nhuong Le

Inhaltsangabe

1. An Intelligent Methodology for COVID-19 RISK Prediction using Swarm
Intelligence Optimization-A Machine Learning Perspective 2. Impact of COVID
Vaccination on the Globe using Data Analytics 3. Swarm Intelligence and
Machine Learning Algorithms for Cancer Diagnosis 4. Applications of Swarm
Intelligence and Machine Learning for COVID-19 5. Machine Learning for
Rural Healthcare 6. Swarm Intelligence-based Framework for Image
Segmentation of Knee MRI Images for Detection of Bone Cancer 7. Swarm
Optimization and Machine Learning to Improve the Detection of Brain Tumor
8. Analysis of Machine Learning Algorithms for Prediction of Diabetes 9.
Swarm Intelligence for Diagnosis of Arrhythmia and Cardiac Stenosis 10.
Design and Development of Covid-19 Pandemic Situation-based Contactless
Automated Teller Machine Operations 11. Scope of Optimization in Plant Leaf
Disease Detection using Deep Learning and Swarm Intelligence 12. Automatic
Speech Analysis of Conversations for Dementia Detection Using Bi-LSTM Model