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El. knyga: Intelligent Decision Support Systems-A Journey to Smarter Healthcare

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The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.  


1 Era of Intelligent Systems in Healthcare
1(56)
1.1 What Are Intelligent Systems?
1(12)
1.2 Why and How Intelligent Systems in Healthcare?
13(24)
1.3 What Are the Benefits of Intelligent Healthcare?
37(6)
1.4 What Are the Prospects of Using Intelligent Systems in Healthcare?
43(5)
References
48(9)
2 A Brief History of Intelligent Decision Support Systems
57(14)
2.1 Decision Support Systems
57(3)
2.2 Intelligent Decision Support Systems
60(4)
2.3 From Decision Support Systems to Intelligent Decision Support Systems. What Comes Next?
64(5)
References
69(2)
3 How Can Intelligent Decision Support Systems Help the Medical Research?
71(32)
3.1 Intelligent Clinical Support
71(15)
3.1.1 Monitoring EHR
74(1)
3.1.2 Accurate Diagnosis and Chronic Disease Management
75(4)
3.1.3 Prevention of Drug-Drug Interaction
79(2)
3.1.4 Drug Development
81(3)
3.1.5 Pandemic Crisis Management
84(2)
3.1.6 Accident Crisis Management
86(1)
3.2 Intelligent Patient Management
86(12)
3.2.1 Monte Carlo Method
92(6)
References
98(5)
4 Data Mining-Based Intelligent Decision Support Systems
103(156)
4.1 Some Data Mining Techniques Used in Intelligent Decision Support Systems
103(98)
4.1.1 Multiple Linear Regression
105(8)
4.1.2 Logistic Regression
113(4)
4.1.3 Softmax Classifier
117(1)
4.1.4 Artificial Neural Networks. The Beginnings. The Winter. The Awakening
118(8)
4.1.5 Artificial Neural Networks. Types of Learning
126(56)
4.1.6 Competitive/Collaborative Paradigm
182(3)
4.1.7 Evolutionary Driven ML Paradigm
185(2)
4.1.8 Queuing Models
187(14)
4.2 Overview of Data Mining in Healthcare: From an Academic Perspective to Everyday Practice
201(49)
References
250(9)
5 Intelligent Systems and the Healthcare Revolution
259(8)
5.1 Digital Healthcare Revolution
259(5)
5.2 Intelligent Systems in Healthcare: Promise and Potential
264(2)
References
266(1)
Bibliography 267(2)
Index 269
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