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Foundations of artificial intelligence in healthcare and bioscience : a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians / Louis J. Catania.
- Format:
- Book
- Author/Creator:
- Catania, Louis J., author.
- Language:
- English
- Subjects (All):
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Artificial intelligence--Biological applications.
- Artificial Intelligence.
- Medical Subjects:
- Artificial Intelligence.
- Physical Description:
- 1 online resource : illustrations (colour)
- Place of Publication:
- Amsterdam : Academic Press, 2020.
- System Details:
- text file
- Contents:
- Front Cover
- Foundations of Artificial Intelligence in Healthcare and Bioscience
- Copyright Page
- Dedication
- Contents
- List of Illustrations
- Foreword by Adam Dimitrov
- Foreword by Ernst Nicolitz
- Preface
- Postscript
- Acknowledgments
- I. Artificial intelligence (AI): Understanding the technology
- Introduction
- References
- 1 The evolution of artificial intelligence (AI)
- 1.1 Human intelligence
- 1.2 Defining artificial intelligence (AI)
- 2 The basic computer
- 2.1 Layers of basic computers
- 2.1.1 Input layer
- 2.1.2 Inner (hidden) layer
- 2.1.3 Output layer
- 2.2 Basic computer language and programming
- 2.3 Basic computer hardware
- 2.4 Basic computer software
- 2.5 Servers, internet and world wide web (www)
- 2.5.1 Servers
- 2.5.2 Internet
- 2.5.3 World wide web (www)
- 3 The science and technologies of artificial intelligence (AI)
- 3.1 The theory and science of artificial intelligence (AI)
- 3.2 Artificial neural network (ANN) model of artificial intelligence (AI)
- 3.3 AI software (algorithms)
- 3.3.1 Machine learning
- 3.3.1.1 Supervised (labeled) data
- 3.3.2 Neural networking and deep learning
- 3.3.2.1 Unsupervised (unlabeled) data
- 3.3.2.2 Reinforcement learning
- 3.4 AI hardware
- 3.4.1 Ram (random access memory)
- 3.4.2 Computer servers (file, mail, print, web, game, apps)
- 3.4.3 Central processing unit (CPU)
- 3.4.4 Graphic processing unit (GPU)
- 3.4.5 Accelerators [61]
- 3.4.6 Quantum processors using "qubits" (vs digital binary code)
- 3.4.7 Neuromorphic chips ("self-learning" microchips)
- 3.4.8 Application specific integrated circuit (ASIC)
- 3.4.9 Field-programmable gate array (FPGA) integrated circuit with hardware description language (HDL)
- 3.5 Specialized AI systems
- 3.5.1 Natural language processing (NLP)
- 3.5.2 Natural language generation (NLG)
- 3.5.3 Expert systems
- 3.5.4 "Internet of things" (IoT)
- 3.5.5 Cyber-physical system (CPS)
- 3.5.6 Big data analytics
- 3.5.7 Blockchain
- 3.5.8 Robotics
- 3.6 Sample AI scenarios
- 3.6.1 "Why is the Mona Lisa smiling?"
- 3.6.2 The "great steak" experience
- II. Artificial intelligence (AI): Applications in health and wellness
- 4 AI applications in the business and administration of health care
- 4.1 AI applications in government agencies (GOVs), non-governmental organizations (NGOs) and third-party health insurers
- 4.1.1 Primary AI applications GOVs, NGOs, and third-party health insurers (1, 2, 3)
- 4.1.2 Additional AI applications to GOVs, NGOs, and third-party health insurers (4, 5, 6)
- 4.2 Big data analytics in health care [Text #1]
- 4.2.1 Primary AI literature reviews of big data analytics (1, 2, 3)
- 4.2.2 Additional AI literature reviews of big data analytics (4, 5, 6)
- 4.3 Blockchain in health care [Text #2]
- 4.3.1 Primary AI literature reviews of blockchain (1, 2, 3)
- Notes:
- Electronic reproduction. Amsterdam Available via World Wide Web.
- ISBN:
- 9780323860055
- 0323860052
- Publisher Number:
- 40030476074
- Access Restriction:
- Restricted for use by site license.
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