Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis
portes grátis
Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis
Shaalan, Khaled; Mallick, Pradeep; Tripathy, Hrudaya Kumar; Mishra, Sushruta
Springer Verlag, Singapore
04/2022
502
Dura
Inglês
9789811910753
15 a 20 dias
939
Descrição não disponível.
Chapter 1. A bibliometric analysis on the role of artificial intelligence in healthcare.- Chapter 2. Supervised Intelligent Clinical Approach for Breast Cancer Tumour Categorisation.- Chapter 3. Health Monitoring and Integrated Wearables.- Chapter 4. A Comprehensive Review Analysis of Alzheimer Disorder using Machine Learning Approach.- Chapter 5. Machine Learning Techniques in Medical Image: A Short Review.- Chapter 6. Analysis of Diabetic Retinopathy Detection Techniques using CNN Models.- Chapter 7. Experimental Evaluation Of Brain Tumor Image Segmentation and Detection Using CNN Model.- Chapter 8. Effective Deep Learning Algorithms for Personalized Healthcare Services.- Chapter 9. Automatic lung carcinoma identification and classification in CT images using CNN deep learning model.- Chapter 10. Augmented Intelligence: Deep Learning Models for Healthcare.- Chapter 11. Sentiment analysis and emotion detection with healthcare perspective.- Chapter 12. Augmented Intelligence in Mentalhealthcare: Sentiment analysis & emotion detection with healthcare perspective.- Chapter 13. NLP applications for big data analytics within healthcare.- Chapter 14. Cognitive Computing Driven Healthcare: A Precise Study.- Chapter 15. Cognitive Techniques for Brain Disorder Management: A Future Trend.- Chapter 16. Relevance of Blockchain in Revolutionizing Health Records.- Chapter 17. A Systematic Review on Blockchain Technology: Concepts, Applications, and Prospects in Healthcare.- Chapter 18. Integrated Machine Learning Models for Enhanced Security of Healthcare data.- Chapter 19. Symptoms based Biometric Pattern Detection and Recognition.- Chapter 20. Time Series Analysis of COVID 19 waves in India for Social Good.- Chapter 21. Detection of COVID-19 using A Multi-Scale Deep Learning Network:Covid-MSNet.- Chapter 22. Immersive Technologies in the Healthcare Space.- Chapter 23. Artificial Intelligence in Telemedicine: A Brief Survey.- Chapter 24. Infectious Diseases Reporting System Using Naive Bayes Classification Algorithm.- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Augmented Intelligence;Healthcare Informatics;Machine Learning;Disease Diagnosis;Accuracy Rate;Pattern Recognition;Ambient Intelligence;Drug Prediction;Biomedical Big Data
Chapter 1. A bibliometric analysis on the role of artificial intelligence in healthcare.- Chapter 2. Supervised Intelligent Clinical Approach for Breast Cancer Tumour Categorisation.- Chapter 3. Health Monitoring and Integrated Wearables.- Chapter 4. A Comprehensive Review Analysis of Alzheimer Disorder using Machine Learning Approach.- Chapter 5. Machine Learning Techniques in Medical Image: A Short Review.- Chapter 6. Analysis of Diabetic Retinopathy Detection Techniques using CNN Models.- Chapter 7. Experimental Evaluation Of Brain Tumor Image Segmentation and Detection Using CNN Model.- Chapter 8. Effective Deep Learning Algorithms for Personalized Healthcare Services.- Chapter 9. Automatic lung carcinoma identification and classification in CT images using CNN deep learning model.- Chapter 10. Augmented Intelligence: Deep Learning Models for Healthcare.- Chapter 11. Sentiment analysis and emotion detection with healthcare perspective.- Chapter 12. Augmented Intelligence in Mentalhealthcare: Sentiment analysis & emotion detection with healthcare perspective.- Chapter 13. NLP applications for big data analytics within healthcare.- Chapter 14. Cognitive Computing Driven Healthcare: A Precise Study.- Chapter 15. Cognitive Techniques for Brain Disorder Management: A Future Trend.- Chapter 16. Relevance of Blockchain in Revolutionizing Health Records.- Chapter 17. A Systematic Review on Blockchain Technology: Concepts, Applications, and Prospects in Healthcare.- Chapter 18. Integrated Machine Learning Models for Enhanced Security of Healthcare data.- Chapter 19. Symptoms based Biometric Pattern Detection and Recognition.- Chapter 20. Time Series Analysis of COVID 19 waves in India for Social Good.- Chapter 21. Detection of COVID-19 using A Multi-Scale Deep Learning Network:Covid-MSNet.- Chapter 22. Immersive Technologies in the Healthcare Space.- Chapter 23. Artificial Intelligence in Telemedicine: A Brief Survey.- Chapter 24. Infectious Diseases Reporting System Using Naive Bayes Classification Algorithm.- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
