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 applications in medicine and biology, as well as challenges and opportunities presented in these arenas.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
A. Sheik Abdullah is an Assistant Professor senior, at the School of Computer Science Engineering, Vellore Institute of Technology, in Chennai, Tamil Nadu, India. His research interests include Medical Data Research and Analytics, E-Governance, and Big Data. He has published books, written book chapters, and numerous journal articles.
Inhaltsangabe
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.
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.
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