Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
Dubey, Ashutosh Kumar; Kumar, Abhishek; Rathore, Pramod Singh; Anavatti, Sreenatha G.
Taylor & Francis Ltd
10/2024
224
Mole
9780367676346
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1. Machine Learning in Healthcare. 2. Feature Extraction and Applications of Bio Signals. 3. Machine Learning Methods for Managing Parkinson's Disease. 4. Challenges of Medical Text and Image Processing. 5. Machine Learning Solutions in Computer-Aided Medical Diagnosis. 6. Rule Learning in Healthcare and Health Services Research. 7. Diagnosis in Medical Imaging. 8. Identifying Diseases and Diagnosis Using Machine Learning. 9. Machine Learning-Based Behavioral Modification. 10. Smart Health Records. 11. Treatment Recommendation System. 12. Smart Health Informatics System. 13. Natural Language Processing Utilization in Healthcare. 14. Clinical Decision Support and Predictive Analytics. 15. Bioinformatics and Biometrics. 16. Human Computer Interfaces and Usability. 17. Education and Capacity Building. 18. Learning Analytics for Competence Assessment. 19. Patient Simulators. 20. Serious Gaming. 21. Patient Empowerment and Engagement. 22. Social Media, Mobile Apps, and Patient Portals. 23. Human Factors and Technology Adoption. 24. Surveillance System. 25. Robotics. 26. Object Detection. 27. Traffic Analysis. 28. Big Data in Healthcare Systems. 29. Advanced Decision-Making and Data Analytics. 30. Emergence of Decision Support Systems. 31. Big Data Based Frameworks and Machine Learning. 32. Predictive Analysis and Modeling. 33. Security and Privacy with Machine Learning Systems. 34. Role of Social Media in Healthcare Analytics. 35. Big Data Based Case Studies for Healthcare Analytics. 36. Machine Learning and Deep Learning Paradigms and Case Studies. 37. Machine Learning in Agriculture.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
RF;Supervised Machine Learning;Machine Learning;Natural Language Processing;Arduino UNO;EHR;HCC;Vice Versa;Machine Learning Algorithms;PAI;DNA Methylation;AWGN Channel;SVM;Pam;5G Networks;Mri Dataset;Patient Empowerment;NLP Technique;BER Performance;PD;Supervised Machine Learning Algorithms;PSNR Performance;RBFNN;Turbo Encoder;Turbo Coding
1. Machine Learning in Healthcare. 2. Feature Extraction and Applications of Bio Signals. 3. Machine Learning Methods for Managing Parkinson's Disease. 4. Challenges of Medical Text and Image Processing. 5. Machine Learning Solutions in Computer-Aided Medical Diagnosis. 6. Rule Learning in Healthcare and Health Services Research. 7. Diagnosis in Medical Imaging. 8. Identifying Diseases and Diagnosis Using Machine Learning. 9. Machine Learning-Based Behavioral Modification. 10. Smart Health Records. 11. Treatment Recommendation System. 12. Smart Health Informatics System. 13. Natural Language Processing Utilization in Healthcare. 14. Clinical Decision Support and Predictive Analytics. 15. Bioinformatics and Biometrics. 16. Human Computer Interfaces and Usability. 17. Education and Capacity Building. 18. Learning Analytics for Competence Assessment. 19. Patient Simulators. 20. Serious Gaming. 21. Patient Empowerment and Engagement. 22. Social Media, Mobile Apps, and Patient Portals. 23. Human Factors and Technology Adoption. 24. Surveillance System. 25. Robotics. 26. Object Detection. 27. Traffic Analysis. 28. Big Data in Healthcare Systems. 29. Advanced Decision-Making and Data Analytics. 30. Emergence of Decision Support Systems. 31. Big Data Based Frameworks and Machine Learning. 32. Predictive Analysis and Modeling. 33. Security and Privacy with Machine Learning Systems. 34. Role of Social Media in Healthcare Analytics. 35. Big Data Based Case Studies for Healthcare Analytics. 36. Machine Learning and Deep Learning Paradigms and Case Studies. 37. Machine Learning in Agriculture.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
RF;Supervised Machine Learning;Machine Learning;Natural Language Processing;Arduino UNO;EHR;HCC;Vice Versa;Machine Learning Algorithms;PAI;DNA Methylation;AWGN Channel;SVM;Pam;5G Networks;Mri Dataset;Patient Empowerment;NLP Technique;BER Performance;PD;Supervised Machine Learning Algorithms;PSNR Performance;RBFNN;Turbo Encoder;Turbo Coding
