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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.

Elsevier ScienceDirect Books Available online

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Format:
Book
Author/Creator:
Catania, Louis J., author.
Contributor:
ScienceDirect (Online service)
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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