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Artificial Intelligence in Medicine

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Cover of 'Artificial Intelligence in Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 From Clinical Guidelines to Decision Support
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    Chapter 2 Artificial Intelligence for Building Learning Health Care Organizations
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    Chapter 3 Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
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    Chapter 4 Machine Learning for Data Mining in Medicine
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    Chapter 5 Guidelines-Based Workflow Systems
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    Chapter 6 Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process
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    Chapter 7 Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge
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    Chapter 8 From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain
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    Chapter 9 Internet-Based Decision-Support Server for Acute Abdominal Pain
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    Chapter 10 Multi-modal Reasoning in Diabetic Patient Management
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    Chapter 11 Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems
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    Chapter 12 Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals
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    Chapter 13 Influence Diagrams for Neonatal Jaundice Management
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    Chapter 14 Electronic Drug Prescribing and Administration - Bedside Medical Decision Making
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    Chapter 15 Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants
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    Chapter 16 A Life-Cycle Based Authorisation Expert Database System
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    Chapter 17 A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases ( HEPASCORE )
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    Chapter 18 A Model-Based Approach for Learning to Identify Cardiac Arrhythmias
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    Chapter 19 A Model-Based System for Pacemaker Reprogramming
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    Chapter 20 Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach
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    Chapter 21 A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract
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    Chapter 22 An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage
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    Chapter 23 Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods
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    Chapter 24 A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG
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    Chapter 25 The Case-Based Neural Network Model and Its Use in Medical Expert Systems
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    Chapter 26 A Medical Ontology Library That Integrates the UMLS Metathesaurus™
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    Chapter 27 The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion
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    Chapter 28 Representing Knowledge Levels in Clinical Guidelines
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    Chapter 29 Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions
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    Chapter 30 Knowledge-Based Event Detection in Complex Time Series Data
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    Chapter 31 Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data
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    Chapter 32 Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning
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    Chapter 33 Visualizing Temporal Clinical Data on the WWW
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    Chapter 34 Machine Learning in Stepwise Diagnostic Process
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    Chapter 35 Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning
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    Chapter 36 The Analysis of Head Injury Data Using Decision Tree Techniques
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    Chapter 37 Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer
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    Chapter 38 ICU Patient State Characterization Using Machine Learning in a Time Series Framework
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    Chapter 39 Diagnostic Rules of Increased Reliability for Critical Medical Applications
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    Chapter 40 Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?
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    Chapter 41 A Screening Technique for Prostate Cancer by Hair Chemical Analysis and Artificial Intelligence
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    Chapter 42 A Conversational Model for Health Promotion on the World Wide Web
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    Chapter 43 Types of Knowledge Required to Personalise Smoking Cessation Letters
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    Chapter 44 Small Is Beautiful — Compact Semantics for Medical Language Processing
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    Chapter 45 Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information
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    Chapter 46 Automatic Acquisition of Morphological Knowledge for Medical Language Processing
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    Chapter 47 A Multi-agent System for MRI Brain Segmentation
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    Chapter 48 Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms
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    Chapter 49 Animating Medical and Safety Knowledge
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    Chapter 50 Active Shape Models for Customised Prosthesis Design
Overall attention for this book and its chapters
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Title
Artificial Intelligence in Medicine
Published by
Springer, May 2003
DOI 10.1007/3-540-48720-4
ISBNs
978-3-54-048720-3, 978-3-54-066162-7
Editors

Horn, Werner, Shahar, Yuval, Lindberg, Greger, Andreassen, Steen, Wyatt, Jeremy

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The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 3%
Student > Doctoral Student 1 3%
Unknown 34 94%
Readers by discipline Count As %
Computer Science 2 6%
Unknown 34 94%