Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. The book explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others.
Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare. This is a great resource for researchers and students who want to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. About the editors - p. xiii 8. Foreword - p. xv 9. Preface - p. xvii 10. Acknowledgments - p. xix 11. Chapter 1: Artificial intelligence applied in emerging healthcare technologies - p. 1 12. Chapter 2: Towards detection of depression and anxiety in adolescents in social media - p. 11 13. Chapter 3: Enhancing air quality analysis with quantum computing: predicting the risk of sick building syndrome - p. 29 14. Chapter 4: Incorporating a chatbot in a virtual rehabilitation system: methodology and preliminary evaluation - p. 41 15. Chapter 5: Automatic speech analysis for detecting cognitive impairment - p. 57 16. Chapter 6: Personalized medicine, digital innovation, and artificial intelligence: an analysis according to the different stakeholders - p. 81 17. Chapter 7: Impact of artificial intelligence (AI) on disease diagnosis and detection - p. 117 18. Chapter 8: Association of D-dimer and fibrinogen with COVID-19 severity: a statistical and clustering approach - p. 131 19. Chapter 9: Application of AI in the research of communicable and non-communicable diseases - p. 149 20. Chapter 10: AI-assisted identification of depressive symptoms with large language models - p. 165 21. Chapter 11: Hand information extraction using artificial intelligence for Alzheimer's disease diagnosis - p. 187 22. Chapter 12: Assistive system for visually impaired using YOLO and WebSockets - p. 207 23. Index - p. 231
Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. The book explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others.
Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare. This is a great resource for researchers and students who want to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. About the editors - p. xiii 8. Foreword - p. xv 9. Preface - p. xvii 10. Acknowledgments - p. xix 11. Chapter 1: Artificial intelligence applied in emerging healthcare technologies - p. 1 12. Chapter 2: Towards detection of depression and anxiety in adolescents in social media - p. 11 13. Chapter 3: Enhancing air quality analysis with quantum computing: predicting the risk of sick building syndrome - p. 29 14. Chapter 4: Incorporating a chatbot in a virtual rehabilitation system: methodology and preliminary evaluation - p. 41 15. Chapter 5: Automatic speech analysis for detecting cognitive impairment - p. 57 16. Chapter 6: Personalized medicine, digital innovation, and artificial intelligence: an analysis according to the different stakeholders - p. 81 17. Chapter 7: Impact of artificial intelligence (AI) on disease diagnosis and detection - p. 117 18. Chapter 8: Association of D-dimer and fibrinogen with COVID-19 severity: a statistical and clustering approach - p. 131 19. Chapter 9: Application of AI in the research of communicable and non-communicable diseases - p. 149 20. Chapter 10: AI-assisted identification of depressive symptoms with large language models - p. 165 21. Chapter 11: Hand information extraction using artificial intelligence for Alzheimer's disease diagnosis - p. 187 22. Chapter 12: Assistive system for visually impaired using YOLO and WebSockets - p. 207 23. Index - p. 231
