ISBN13: | 9781032356495 |
ISBN10: | 1032356499 |
Binding: | Hardback |
No. of pages: | 174 pages |
Size: | 234x156 mm |
Weight: | 560 g |
Language: | English |
Illustrations: | 37 Illustrations, black & white; 37 Line drawings, black & white; 34 Tables, black & white |
662 |
Biology in general
Electrical engineering and telecommunications, precision engineering
Theory of computing, computing in general
Data management in computer systems
Computer architecture, logic design
Supercomputers
Operating systems and graphical user interfaces
Software development
Database management softwares
Artificial Intelligence
Environmental sciences
Biology in general (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Theory of computing, computing in general (charity campaign)
Data management in computer systems (charity campaign)
Computer architecture, logic design (charity campaign)
Supercomputers (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Software development (charity campaign)
Database management softwares (charity campaign)
Artificial Intelligence (charity campaign)
Environmental sciences (charity campaign)
Swarm Intelligence and its Applications in Biomedical Informatics
GBP 120.00
Click here to subscribe.
Not in stock at Prospero.
Swarm Intelligence and its Applications in Biomedical Informatics discusses Artificial Intelligence applications in medicine and biology, as well as challenges and opportunities presented in these arenas.
Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas. It covers healthcare big data analytics, mobile health, personalized medicine, and clinical trial data management. This book shows how AI can be used for early disease diagnosis, prediction, and prognosis, and it offers healthcare case studies that demonstrate the application of AI and Machine Learning.
Key Features:
? Covers all major topics of swarm intelligence research and development such as novel-based search methods and novel optimization algorithm: applications of swarm intelligence to management problems and swarm intelligence for real-world application.
? Provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up ?intelligent bioinformatics?.
? Covers a wide range of topics on the role of AI, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it.
? Explores applications in different areas of healthcare and highlights the current research.
This book is designed as a reference text, and it aims primarily at advanced undergraduates and postgraduate students studying computer science and bioinformatics. Researchers and professionals will find this book useful.
1. Introduction. 2. Statistical Methods and Swarm Intelligence Techniques in Clinical Data Prediction. 3. Data Classification by Decision Trees - An Illustration . 4. Predictive Analytics Using Ant Colony Optimization with Decision Trees for Medical Data. 5. Predictive Analytics Using Bee-Based Harmony Search with Decision Trees for Medical Data. 6. Predictive Analytics Using Particle Swarm Optimization with Decision Trees for Type II Diabetes. 7. Case-Based Analysis in Medical Informatics. 8. Intelligent Optimization Unit. 9. Conclusion.