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Artificial Intelligence in Health

Overview of attention for book
Cover of 'Artificial Intelligence in Health'

Table of Contents

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    Book Overview
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    Chapter 1 MeSHx-Notes: Web-System for Clinical Notes
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    Chapter 2 Multiagent Systems to Support Planning and Scheduling in Home Health Care Management: A Literature Review
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    Chapter 3 Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia
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    Chapter 4 Active Learning for Conversational Interfaces in Healthcare Applications
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    Chapter 5 Analysis of Topic Propagation in Therapy Sessions Using Partially Labeled Latent Dirichlet Allocation
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    Chapter 6 Dr. AI, Where Did You Get Your Degree?
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    Chapter 7 Design Principles and Action Reflection for Agent-Based Assistive Technology
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    Chapter 8 Microsoft Hololens - A mHealth Solution for Medication Adherence
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    Chapter 9 A Knowledge-Based Simulation Framework for Decision Support in Brazilian National Cancer Institute
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    Chapter 10 Lifted Maximum Expected Utility
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    Chapter 11 The Role of Usability Engineering in the Development of an Intelligent Decision Support System
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    Chapter 12 Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning
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    Chapter 13 Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity
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    Chapter 14 Interpretation of Best Medical Coding Practices by Case-Based Reasoning—A User Assistance Prototype for Data Collection for Cancer Registries
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    Chapter 15 Identification of Serious Illness Conversations in Unstructured Clinical Notes Using Deep Neural Networks
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    Chapter 16 Generating Reward Functions Using IRL Towards Individualized Cancer Screening
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    Chapter 17 Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions
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Title
Artificial Intelligence in Health
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-12738-1
ISBNs
978-3-03-012737-4, 978-3-03-012738-1
Editors

Koch, Fernando, Koster, Andrew, Riaño, David, Montagna, Sara, Schumacher, Michael, ten Teije, Annette, Guttmann, Christian, Reichert, Manfred, Bichindaritz, Isabelle, Herrero, Pau, Lenz, Richard, López, Beatriz, Marling, Cindy, Martin, Clare, Montani, Stefania, Wiratunga, Nirmalie

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X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Master 2 25%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 4 50%
Decision Sciences 1 13%
Unknown 3 38%