Description
Taylor and Francis Ltd Swarm Intelligence and Machine Learning 1st Edition 2022 Hardbound by Agrawal, Shikha
Highlights the importance and applications of Swarm Intelligence and Machine learning in Healthcare industry._x000D__x000D__x000D__x000D_Elaborates Swarm Intelligence and Machine Learning for Cancer Detection._x000D__x000D__x000D__x000D_Focuses on applying Swarm Intelligence and Machine Learning for Heart Disease detection and diagnosis._x000D__x000D__x000D__x000D_Explores of the concepts of machine learning along with swarm intelligence techniques, along with recent research developments in healthcare sectors._x000D__x000D__x000D__x000D_Investigates how healthcare companies can leverage the tapestry of big data to discover new business values._x000D__x000D__x000D__x000D_Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms._x000D_ _x000D_
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_x000D_