Artificial Intelligence in Medicine

Table of Contents

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   Book Overview
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   Chapter 1 Understanding Etiology of Complex Neurodevelopmental Disorders: Two Approaches
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   Chapter 2 What BPM Technology Can Do for Healthcare Process Support
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   Chapter 3 Elicitation of Neurological Knowledge with ABML
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   Chapter 4 Intelligent Configuration of Social Support Networks Around Depressed Persons
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   Chapter 5 Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments
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   Chapter 6 How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosis
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   Chapter 7 Ontology-Based Generation of Dynamic Feedback on Physical Activity
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   Chapter 8 A Case Study of Stacked Multi-view Learning in Dementia Research
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    Chapter 9 Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate
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    Chapter 10 A Data Mining Library for miRNA Annotation and Analysis
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    Chapter 11 Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles
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    Chapter 12 Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinations
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    Chapter 13 HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythm
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    Chapter 14 Lessons Learned from Implementing and Evaluating Computerized Decision Support Systems
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    Chapter 15 CARDSS: Development and Evaluation of a Guideline Based Decision Support System for Cardiac Rehabilitation
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    Chapter 16 Using Formal Concept Analysis to Discover Patterns of Non-compliance with Clinical Practice Guidelines: A Case Study in the Management of Breast Cancer
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    Chapter 17 Integrating Clinical Decision Support System Development into a Development Process of Clinical Practice – Experiences from Dementia Care
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    Chapter 18 Personalized Techniques for Lifestyle Change
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    Chapter 19 The Intelligent Ventilator Project: Application of Physiological Models in Decision Support
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    Chapter 20 Clinical Time Series Data Analysis Using Mathematical Models and DBNs
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    Chapter 21 Managing COPD Exacerbations with Telemedicine
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    Chapter 22 A Predictive Bayesian Network Model for Home Management of Preeclampsia
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    Chapter 23 Voting Techniques for a Multi-terminology Based Biomedical Information Retrieval
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    Chapter 24 Mapping Orphanet Terminology to UMLS
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    Chapter 25 The FMA in OWL 2
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    Chapter 26 Improving Information Retrieval by Meta-modelling Medical Terminologies
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    Chapter 27 Improving the Mapping between MedDRA and SNOMED CT
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    Chapter 28 COPE: Childhood Obesity Prevention [Knowledge] Enterprise
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    Chapter 29 Repeated Prognosis in the Intensive Care: How Well Do Physicians and Temporal Models Perform?
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    Chapter 30 Artificial Intelligence in Medicine
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    Chapter 31 Mining Temporal Constraint Networks by Seed Knowledge Extension
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    Chapter 32 A Rule-Based Method for Specifying and Querying Temporal Abstractions
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    Chapter 33 Web-Based Querying and Temporal Visualization of Longitudinal Clinical Data
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    Chapter 34 Careflow Planning: From Time-Annotated Clinical Guidelines to Temporal Hierarchical Task Networks
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    Chapter 35 An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records
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    Chapter 36 Variation Prediction in Clinical Processes
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    Chapter 37 A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity
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    Chapter 38 Towards the Formalization of Guidelines Care Actions Using Patterns and Semantic Web Technologies
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    Chapter 39 Exploiting OWL Reasoning Services to Execute Ontologically-Modeled Clinical Practice Guidelines
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    Chapter 40 Guideline Recommendation Text Disambiguation, Representation and Testing
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    Chapter 41 A Token Centric Part-of-Speech Tagger for Biomedical Text
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    Chapter 42 Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety
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    Chapter 43 Artificial Intelligence in Medicine
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    Chapter 44 Evaluating Outliers for Cross-Context Link Discovery
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    Chapter 45 Diagnosis Code Assignment Support Using Random Indexing of Patient Records – A Qualitative Feasibility Study