Swarm Intelligence and Machine Learning
  1. 222 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.

The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

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Yes, you can access Swarm Intelligence and Machine Learning by Shikha Agarwal, Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le, Kamlesh Kumar Gupta, Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le,Kamlesh Kumar Gupta, Shikha Agarwal, Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

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