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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 On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information
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    Chapter 2 Quality Assessment of Hemodialysis Services through Temporal Data Mining
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    Chapter 3 Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases
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    Chapter 4 Prognosis of Approaching Infectious Diseases
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    Chapter 5 Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data
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    Chapter 6 NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report
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    Chapter 7 Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy
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    Chapter 8 How to Represent Medical Ontologies in View of a Semantic Web?
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    Chapter 9 Using Description Logics for Managing Medical Terminologies
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    Chapter 10 Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions
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    Chapter 11 Speech Interfaces for Point-of-Care Guideline Systems
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    Chapter 12 Text Categorization prior to Indexing for the CISMEF Health Catalogue
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    Chapter 13 Bodily Systems and the Modular Structure of the Human Body
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    Chapter 14 Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation
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    Chapter 15 Qualitative Simulation of Shock States in a Virtual Patient
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    Chapter 16 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory
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    Chapter 17 A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease
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    Chapter 18 DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines
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    Chapter 19 Experiences in the Formalisation and Verification of Medical Protocols
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    Chapter 20 Enhancing Conventional Web Content with Intelligent Knowledge Processing
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    Chapter 21 Linking Clinical Guidelines with Formal Representations
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    Chapter 22 Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy
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    Chapter 23 The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions
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    Chapter 24 Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients
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    Chapter 25 Informal and Formal Medical Guidelines: Bridging the Gap
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    Chapter 26 Rhetorical Coding of Health Promotion Dialogues
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    Chapter 27 Learning Derived Words from Medical Corpora
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    Chapter 28 Learning-Free Text Categorization
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    Chapter 29 Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web
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    Chapter 30 Linking Rules to Terminologies and Applications in Medical Planning
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    Chapter 31 Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines
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    Chapter 32 Attribute Interactions in Medical Data Analysis
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    Chapter 33 Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma
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    Chapter 34 Analysis of Gene Expression Data by the Logic Minimization Approach
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    Chapter 35 A Journey trough Clinical Applications of Multimethod Decision Trees
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    Chapter 36 Detailing Test Characteristics for Probabilistic Networks
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    Chapter 37 Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation
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    Chapter 38 Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database
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    Chapter 39 A Bayesian Neural Network Approach for Sleep Apnea Classification
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    Chapter 40 Probabilistic Networks as Probabilistic Forecasters
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    Chapter 41 Finding and Explaining Optimal Treatments
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    Chapter 42 Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support
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    Chapter 43 Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment
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    Chapter 44 Constraint Reasoning in Deep Biomedical Models
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    Chapter 45 Interactive Decision Support for Medical Planning
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    Chapter 46 Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer
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    Chapter 47 WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers
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    Chapter 48 VIE-DIAB: A Support Program for Telemedical Glycaemic Control
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    Chapter 49 Drifting Concepts as Hidden Factors in Clinical Studies
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    Chapter 50 Multi-relational Data Mining in Medical Databases
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    Chapter 51 Is It Time to Trade “Wet-Work” for Network?
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    Chapter 52 Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?
Attention for Chapter 40: Probabilistic Networks as Probabilistic Forecasters
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Chapter title
Probabilistic Networks as Probabilistic Forecasters
Chapter number 40
Book title
Artificial Intelligence in Medicine
Published by
Springer, Berlin, Heidelberg, October 2003
DOI 10.1007/978-3-540-39907-0_40
Book ISBNs
978-3-54-020129-8, 978-3-54-039907-0
Authors

Linda C. van der Gaag, Silja Renooij