Artificial and cognitive computing for sustainable healthcare systems in smart cities

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Title:

Author:

Pradhan, Devasis, editor.

ISBN:

9781394297443

9781394297429

9781394297436

Physical Description:

1 online resource : color illustrations.

Series:

Computer engineering series. International perspectives in decision analytics and operations research set ; volume 3

Computer engineering series (London, England). International perspectives in decision analytics and operations research set ; v. 3.

Contents:

Chapter 1 Artificial Intelligence and its Application in Healthcare Systems -- 1.1. History of healthcare system -- 1.2. Literature studies -- 1.3. Evolution of AI -- 1.3.1. Advantages and disadvantages -- 1.3.2. Components of AI -- 1.4. Machine learning -- 1.4.1. Categories of ML -- 1.4.2. Supervised learning -- 1.4.3. Unsupervised learning -- 1.4.4. Reinforcement learning -- 1.5. Application of ML -- 1.6. Application of AI in healthcare -- 1.6.1. Digital health -- 1.6.2. Genetic solutions

1.6.3. Bio-medical visualization -- 1.7. Conclusion -- 1.8. References -- Chapter 2 Medical Laboratory Artificial Intelligence: The Applicability in Nigerian Medical Laboratories -- 2.1. Introduction -- 2.2. Historical trend of artificial intelligence (AI) -- 2.3. AI in medical science/medical laboratory science in history -- 2.4. Medical Laboratory Information Management System, centralized data and WWW -- 2.5. Artificial intelligence methodologies and their application in medical laboratory science -- 2.6. Nigerian medical laboratory intelligence before, now and future

2.7. Medical laboratory services where AI is used in Nigeria -- 2.8. AI and Internet of medical laboratory things -- 2.9. Opportunities and challenges of AI for Nigerian medical laboratories -- 2.10. Risks/limitations and challenges associated with AI in Nigerian medical laboratories -- 2.11. AI and digitalization of Nigerian medical laboratories -- 2.12. Conclusion -- 2.13. References -- Chapter 3 Machine Learning and Deep Learning for Smart City Services -- 3.1. Introduction -- 3.2. Basics of machine learning and its implications in smart cities

3.3. Basics of deep learning and its implications in smart cities -- 3.4. Algorithms of machine learning and deep learning -- 3.4.1. Classification -- 3.4.2. Clustering -- 3.4.3. K-nearest neighbors -- 3.4.4. Naive Bayes -- 3.4.5. The support vector machine -- 3.4.6. Linear regression -- 3.4.7. Random forest -- 3.4.8. K-means -- 3.4.9. Artificial neural network -- 3.4.10. Multi-layer perceptron -- 3.5. Applications in smart cities using machine learning and deep learning -- 3.5.1. Safety of the public -- 3.5.2. Intelligent traffic management -- 3.5.3. Water management strategy

3.5.4. Smart street lights -- 3.5.5. Intelligent parking devices -- 3.5.6. Smart waste and disposal management system -- 3.6. Future challenges and research directions -- 3.7. Conclusion -- 3.8. References -- Chapter 4 An Intelligent Healthcare System Based on Machine Learning Models for Accurate Detection of Heart Disease -- 4.1. Introduction -- 4.2. Literature survey -- 4.3. Features of the dataset -- 4.4. Proposed system -- 4.5. ML models used for the experimental work -- 4.5.1. Support vector machines (SVM) -- 4.5.2. Random forest (RF) -- 4.5.3. Stochastic gradient descent (SGD) method -- 4.5.4. Multilayer perceptron (MLP)

Abstract:

Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities delves into the transformative potential of artificial and cognitive computing in the realm of healthcare systems, maintaining a specific emphasis on sustainability. By exploring the integration of advanced technologies in smart cities, the authors examine and discuss how AI and cognitive computing can be harnessed to enhance healthcare delivery. The book provides focused navigation through innovative solutions and strategies that contribute to the creation of sustainable healthcare ecosystems within the dynamic environment of smart cities. From optimizing resource utilization to improving patient outcomes, this comprehensive exploration provides insight for readers with an interest in the future of healthcare within the era of intelligent urban development.

Local Note:

John Wiley and Sons

Subject Term:

Artificial intelligence -- Medical applications.

Intelligence artificielle -- Applications en médecine.

Computer Engineering.

Genre:

Added Author: