Handbook of Artificial Intelligence in Biomedical Engineering

Preface

1. <b>Design of Medical Expert Systems Using Machine Learning Techniques</b>
<i>S. Anto, S. Siamala Devi, K. R. Jothi, and R. Lokeshkumar</i>

2. <b>FFrom Design Issues to Validation: Machine Learning in Biomedical Engineering</b>
<i>Christa I L Sharon and V. Suma</i>

3. <b>Biomedical Engineering and Informatics Using Artificial Intelligence</b>
<i>K. Padmavathi and A. S. Saranya</i>

4. <b>Hybrid Genetic Algorithms for Biomedical Applications</b>
<i>Srividya P. and Rajendran Sindhu</i>

5. <b>Healthcare Applications of the Biomedical AI System</b>
<i>S. Shyni Carmel Mary and S. Sasikala</i>

6. <b>Applications of Artificial Intelligence in Biomedical Engineering</b>
<i>Puja Sahay Prasad, Vinit Kumar Gunjan, Rashmi Pathak, and Saurabh Mukherjee</i>

7. <b>Biomedical Imaging Techniques Using AI Systems</b>
<i>A. Aafreen Nawresh and S. Sasikala</i>

8. <b>Analysis of Heart Disease Prediction Using Machine Learning Techniques</b>
<i>N. Hema Priya, N. Gopikarani, and S. Shymala Gowri</i>

9. <b>A Review on Patient Monitoring and Diagnosis Assistance by Artificial Intelligence Tools</b>
<i>Sindhu Rajendran, Meghamadhuri Vakil, Rhutu Kallur, Vidhya Shree, Praveen Kumar Gupta, and Lingaiya Hiremat</i>

10. <b>Semantic Annotation of Healthcare Data</b>
<i>M. Manonmani and Sarojini Balakrishanan</i>

11. <b>Drug Side Effect Frequency Mining over a Large Twitter Dataset using Apache Spark</b>
<i>Dennis Hsu, Melody Moh, Teng-Sheng Moh, and Diane Moh</i>

12. <b>Deep Learning in Brain Segmentation</b>
<i>Hao-Yu Yang</i>

13. <b>Security and Privacy Issues in Biomedical AI Systems and Potential Solutions</b>
<i>G. Niranjana and Deya Chatterjee</i>

14. <b>LiMoS—Live Patient Monitoring System</b>
<i>T. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, P. Sivananaintha Perumal, and J. Stalin</i>

15. <b>Real-Time Detection of Facial Expressions Using k-NN, SVM, Ensemble classifier and Convolution Neural Networks</b>
<i>A. Sharmila, B. Bhavya, and K. V. N. Kavitha, and P. Mahalakshmi</i>

16. <b>Analysis and Interpretation of Uterine Contraction Signals Using Artificial Intelligence</b>
<i>P. Mahalakshmi and S. Suja Priyadharsini</i>

17. <b>Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction Techniques</b>
<i>Subha Velappan, Manivanna Boopathi Arumugam, and Zafer Comert</i>

18. <b>Deployment of Supervised Machine Learning and Deep Learning Algorithms in Biomedical Text Classification</b>
<i>G. Kumaravelan and Bichitrananda Behera</i>

19. <b>Energy Efficient Optimum Cluster Head Estimation for Body Area Networks</b>
<i>P. Sundareswaran and R.S. Rajesh</i>

20. <b>Segmentation and Classification of Tumour Regions from Brain Magnetic Resonance Images by Neural Network-Based Technique</b>
<i>J. V. Bibal Benifa and G. Venifa Mini</i>

21. <b>A Hypothetical Study in Biomedical Based Artificial Intelligence Systems using Machine Language (ML) Rudiments</b>
<i>D. Renuka Devi and S. Sasikala</i>

22. <b>Neural Source Connectivity Estimation using particle filter and Granger causality methods</b>
<i>Santhosh Kumar Veeramalla and T. V. K. Hanumantha Rao</i>

23. <b>Exploration of Lymph Node-Negative Breast Cancers by Support Vector Machines, Naïve Bayes, and Decision Trees: A Comparative Study</b>
<i>J. Satya Eswari and Pradeep Singh</i>

Index