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Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering (Paperback)

Surendiran, B., Ramesh Kesavan, Saravanan Krishnan (엮은이)
Apple Academic Press
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Handbook of Artificial Intelligence in Biomedical Engineering
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· 제목 : Handbook of Artificial Intelligence in Biomedical Engineering (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781774637616
· 쪽수 : 564쪽
· 출판일 : 2022-10-01

목차

1. Design of Medical Expert Systems Using Machine Learning TechniquesS. Anto, S. Siamala Devi, K. R. Jothi, and R. Lokeshkumar2. From Design Issues to Validation: Machine Learning in Biomedical EngineeringChrista I L Sharon and V. Suma3. Biomedical Engineering and Informatics Using Artificial IntelligenceK. Padmavathi and A. S. Saranya4. Hybrid Genetic Algorithms for Biomedical ApplicationsSrividya P. and Rajendran Sindhu5. Healthcare Applications of the Biomedical AI SystemS. Shyni Carmel Mary and S. Sasikala6. Applications of Artificial Intelligence in Biomedical EngineeringPuja Sahay Prasad, Vinit Kumar Gunjan, Rashmi Pathak, and Saurabh Mukherjee7. Biomedical Imaging Techniques Using AI SystemsA. Aafreen Nawresh and S. Sasikala8. Analysis of Heart Disease Prediction Using Machine Learning TechniquesN. Hema Priya, N. Gopikarani, and S. Shymala Gowri9. A Review on Patient Monitoring and Diagnosis Assistance by Artificial Intelligence ToolsSindhu Rajendran, Meghamadhuri Vakil, Rhutu Kallur, Vidhya Shree, Praveen Kumar Gupta, and Lingaiya Hiremat10. Semantic Annotation of Healthcare DataM. Manonmani and Sarojini Balakrishanan11. Drug Side Effect Frequency Mining over a Large Twitter Dataset using Apache SparkDennis Hsu, Melody Moh, Teng-Sheng Moh, and Diane Moh12. Deep Learning in Brain SegmentationHao-Yu Yang13.Security and Privacy Issues in Biomedical AI Systems and Potential SolutionsG. Niranjana and Deya Chatterjee14. LiMoS?Live Patient Monitoring SystemT. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, P. Sivananaintha Perumal, and J. Stalin15. Real-Time Detection of Facial Expressions Using k-NN, SVM, Ensemble classifier and Convolution Neural NetworksA. Sharmila, B. Bhavya, and K. V. N. Kavitha, and P. Mahalakshmi16. Analysis and Interpretation of Uterine Contraction Signals Using Artificial IntelligenceP. Mahalakshmi and S. Suja Priyadharsini17. Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction TechniquesSubha Velappan, Manivanna Boopathi Arumugam, and Zafer Comert18. Deployment of Supervised Machine Learning and Deep Learning Algorithms in Biomedical Text ClassificationG. Kumaravelan and Bichitrananda Behera19. Energy Efficient Optimum Cluster Head Estimation for Body Area NetworksP. Sundareswaran and R.S. Rajesh20. Segmentation and Classification of Tumour Regions from Brain Magnetic Resonance Images by Neural Network-Based TechniqueJ. V. Bibal Benifa and G. Venifa Mini21. A Hypothetical Study in Biomedical Based Artificial Intelligence Systems using Machine Language (ML) RudimentsD. Renuka Devi and S. Sasikala22. Neural Source Connectivity Estimation using particle filter and Granger causality methodsSanthosh Kumar Veeramalla and T. V. K. Hanumantha Rao23. Exploration of Lymph Node-Negative Breast Cancers by Support Vector Machines, Naive Bayes, and Decision Trees: A Comparative StudyJ. Satya Eswari and Pradeep Singh

저자소개

Surendiran, B. (엮은이)    정보 더보기
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Ramesh Kesavan (엮은이)    정보 더보기
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Saravanan Krishnan (엮은이)    정보 더보기
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