Artificial Intelligence in Medicine

Table of Contents

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   Book Overview
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   Chapter 1 Studying the Reuse of Content in Biomedical Ontologies: An Axiom-Based Approach
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   Chapter 2 Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption
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   Chapter 3 CAREDAS: Context and Activity Recognition Enabling Detection of Anomalous Situation
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   Chapter 4 Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines
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   Chapter 5 Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version)
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   Chapter 6 Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach
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   Chapter 7 Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer’s Disease
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   Chapter 8 Data Fusion Approach for Learning Transcriptional Bayesian Networks
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    Chapter 9 A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks
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    Chapter 10 Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements
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    Chapter 11 Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees
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    Chapter 12 Estimation of Sleep Quality by Using Microstructure Profiles
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    Chapter 13 Combining Multitask Learning and Short Time Series Analysis in Parkinson’s Disease Patients Stratification
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    Chapter 14 Change-Point Detection Method for Clinical Decision Support System Rule Monitoring
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    Chapter 15 Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis
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    Chapter 16 Automatic Classification of Radiological Reports for Clinical Care
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    Chapter 17 Learning Concept-Driven Document Embeddings for Medical Information Search
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    Chapter 18 Automatic Identification of Substance Abuse from Social History in Clinical Text
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    Chapter 19 Analyzing Perceived Intentions of Public Health-Related Communication on Twitter
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    Chapter 20 Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline
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    Chapter 21 Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports
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    Chapter 22 Numerical Eligibility Criteria in Clinical Protocols: Annotation, Automatic Detection and Interpretation
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    Chapter 23 Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features
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    Chapter 24 A Co-occurrence Based MedDRA Terminology Generation: Some Preliminary Results
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    Chapter 25 Towards Dynamic Duration Constraints for Therapy and Monitoring Tasks
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    Chapter 26 Discriminant Chronicles Mining
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    Chapter 27 Is Crowdsourcing Patient-Reported Outcomes the Future of Evidence-Based Medicine? A Case Study of Back Pain
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    Chapter 28 Multi-level Interactive Medical Process Mining
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    Chapter 29 Declarative Sequential Pattern Mining of Care Pathways
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    Chapter 30 Knowledge-Based Trace Abstraction for Semantic Process Mining
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    Chapter 31 The Spanish Kidney Exchange Model: Study of Computation-Based Alternatives to the Current Procedure
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    Chapter 32 A Similarity Measure Based on Care Trajectories as Sequences of Sets
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    Chapter 33 Influence of Data Distribution in Missing Data Imputation
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    Chapter 34 Detecting Mental Fatigue from Eye-Tracking Data Gathered While Watching Video
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    Chapter 35 Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography
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    Chapter 36 Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer’s Disease
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    Chapter 37 Skin Hair Removal in Dermoscopic Images Using Soft Color Morphology
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    Chapter 38 Risk Mediation in Association Rules
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    Chapter 39 Identifying Parkinson’s Patients: A Functional Gradient Boosting Approach
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    Chapter 40 Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
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    Chapter 41 Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population
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    Chapter 42 pMineR: An Innovative R Library for Performing Process Mining in Medicine
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    Chapter 43 Advanced Algorithms for Medical Decision Analysis. Implementation in OpenMarkov
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    Chapter 44 A Platform for Targeting Cost-Utility Analyses to Specific Populations