Foundations of artificial intelligence in healthcare and bioscience: a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic Press, an imprint of Elsevier
[2021]
|
| Schlagworte: | |
| Online-Zugang: | FHD01 |
| Beschreibung: | 1 Online-Ressource (xxxvi, 524 Seiten) |
| ISBN: | 9780323860055 |
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| 505 | 8 | |a 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) -- References -- 2 The basic computer -- 2.1 Layers of basic computers -- 2.1.1 Input layer -- 2.1.2 Inner (hidden) layer | |
| 505 | 8 | |a 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) -- References -- 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 | |
| 505 | 8 | |a 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) | |
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| 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) -- References -- 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) -- References -- 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 -- References -- II. Artificial intelligence (AI): Applications in health and wellness -- Introduction -- References -- 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) |
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| discipline | Informatik |
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| index_date | 2024-07-03T16:18:26Z |
| indexdate | 2024-07-10T09:02:14Z |
| institution | BVB |
| isbn | 9780323860055 |
| language | English |
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| spelling | Catania, Louis J. Verfasser aut Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians Louis J. Catania Amsterdam Academic Press, an imprint of Elsevier [2021] 1 Online-Ressource (xxxvi, 524 Seiten) txt rdacontent c rdamedia cr rdacarrier 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) -- References -- 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) -- References -- 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 -- References -- II. Artificial intelligence (AI): Applications in health and wellness -- Introduction -- References -- 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) Artificial intelligence / Medical applications Artificial intelligence / Biological applications Artificial Intelligence Artificial intelligence / Biological applications fast Artificial intelligence / Medical applications fast Biowissenschaften (DE-588)4129772-6 gnd rswk-swf Medizin (DE-588)4038243-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Biowissenschaften (DE-588)4129772-6 s Künstliche Intelligenz (DE-588)4033447-8 s Medizin (DE-588)4038243-6 s DE-604 Erscheint auch als Druck-Ausgabe 978-0-12-824477-7 |
| spellingShingle | Catania, Louis J. Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians 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) -- References -- 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) -- References -- 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 -- References -- II. Artificial intelligence (AI): Applications in health and wellness -- Introduction -- References -- 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) Artificial intelligence / Medical applications Artificial intelligence / Biological applications Artificial Intelligence Artificial intelligence / Biological applications fast Artificial intelligence / Medical applications fast Biowissenschaften (DE-588)4129772-6 gnd Medizin (DE-588)4038243-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
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| title | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians |
| title_auth | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians |
| title_exact_search | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians |
| title_exact_search_txtP | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians |
| title_full | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians Louis J. Catania |
| title_fullStr | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians Louis J. Catania |
| title_full_unstemmed | Foundations of artificial intelligence in healthcare and bioscience a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians Louis J. Catania |
| title_short | Foundations of artificial intelligence in healthcare and bioscience |
| title_sort | foundations of artificial intelligence in healthcare and bioscience a user friendly guide for it professionals healthcare providers researchers and clinicians |
| title_sub | a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians |
| topic | Artificial intelligence / Medical applications Artificial intelligence / Biological applications Artificial Intelligence Artificial intelligence / Biological applications fast Artificial intelligence / Medical applications fast Biowissenschaften (DE-588)4129772-6 gnd Medizin (DE-588)4038243-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Artificial intelligence / Medical applications Artificial intelligence / Biological applications Artificial Intelligence Biowissenschaften Medizin Künstliche Intelligenz |
| work_keys_str_mv | AT catanialouisj foundationsofartificialintelligenceinhealthcareandbioscienceauserfriendlyguideforitprofessionalshealthcareprovidersresearchersandclinicians |