Artificial intelligence in healthcare : recent applications and developments / Tianhua Chen, Jenny Carter, Mufti Mahmud, Arjab Singh Khuman, editors.
Chen, Tianhua, editor.; Carter, Jenny (Senior lecturer in computer science), editor.; Mahmud, Mufti, editor.; Khuman, Arjab Singh, editor.
2022
R859.7.A78
Available Online

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Title Artificial intelligence in healthcare : recent applications and developments / Tianhua Chen, Jenny Carter, Mufti Mahmud, Arjab Singh Khuman, editors.
ISBN 9789811952722 (electronic bk.)
9811952728 (electronic bk.)
981195271X
9789811952715
DOI https://doi.org/10.1007/978-981-19-5272-2
Imprint Singapore : Springer, 2022.
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-981-19-5272-2 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.285/63
Summary Recent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes. From the individual chapters, the readers will be provided with a range of examples to illustrate the wide plethora of application domains utilizing state-of-the-art AI techniques, proving credence to the versatility and effectiveness of an AI approach in health care and medicine. We envisage that this book is ideal for individuals new to the notion of AI in health care, equally, early career academics who wish to further expand on their knowledge in AI in medicine. What will be presented is in no means an exhaustive list of applications, but most definitely a varied one.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 2, 2022).
Added Author Chen, Tianhua, editor.
Carter, Jenny (Senior lecturer in computer science), editor.
Mahmud, Mufti, editor.
Khuman, Arjab Singh, editor.
Series Brain informatics and health.
Available in Other Form Print version: 9789811952715
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Chapter 1. Deep fuzzy neural network in dementia
Chapter 2. Machine learning for COVID detection
Chapter 3. Machine Learning techniques applied to identify significant gene biomarkers for efficient cancer treatment
Chapter 4. Group decision making in intelligent medicine
Chapter 5. Fuzzy logic system for diabetic eye detection
Chapter 6. Sentiment analysis using deep neural networks
Chapter 7. The emerging role of AI in dementia research and healthcare
Chapter 8. Identifying high impact underlying conditions in disease management using AI
Chapter 9. AI in medicine- case in Asthma diagnosis
Chapter 10. Sentiment Analysis of Stroke Tweet
Chapter 11. Artificial intelligence in detecting Alzheimers Disease
Chapter 12. Intelligent systems for IoT based healthcare delivery
Chapter 13. Machine learning for the detection of Schizophrenia
Chapter 14. Ictal discharge detection from neuronal signals using machine learning
Chapter 15. Sentiment analysis for healthcare service provisioning
Chapter 16. AI Healthcare: Malignant or Benign
Chapter 17. Machine learning for dementia diagnosis
Chapter 18. Using fuzzy systems to calculate blood pressure levels.

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