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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 Decision to Shared-Decision: Introducing Patients’ Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention
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    Chapter 2 Model-Based Combination of Treatments for the Management of Chronic Comorbid Patients
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    Chapter 3 Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines
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    Chapter 4 A Multi-agent Planning Approach for the Generation of Personalized Treatment Plans of Comorbid Patients
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    Chapter 5 Merging Disease-Specific Clinical Guidelines to Handle Comorbidities in a Clinical Decision Support Setting
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    Chapter 6 Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine
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    Chapter 7 Rule-Based Formalization of Eligibility Criteria for Clinical Trials
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    Chapter 8 Characterizing Health-Related Information Needs of Domain Experts
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    Chapter 9 Comparison of Clustering Approaches through Their Application to Pharmacovigilance Terms
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    Chapter 10 Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach
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    Chapter 11 Learning Formal Definitions for Snomed CT from Text
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    Chapter 12 Towards Automatic Patient Eligibility Assessment: From Free-Text Criteria to Queries
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    Chapter 13 Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking
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    Chapter 14 Knowledge-Based Identification of Multicomponent Therapies
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    Chapter 15 Enhancing Random Forests Performance in Microarray Data Classification
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    Chapter 16 Copy–Number Alterations for Tumor Progression Inference
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    Chapter 17 Constraining Protein Docking with Coevolution Data for Medical Research
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    Chapter 18 Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients
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    Chapter 19 Artificial Intelligence in Medicine
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    Chapter 20 Artificial Intelligence in Medicine
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    Chapter 21 Understanding the Co-occurrence of Diseases Using Structure Learning
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    Chapter 22 Online Diagnostic System Based on Bayesian Networks
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    Chapter 23 A Probabilistic Graphical Model for Tuning Cochlear Implants
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    Chapter 24 Semi-supervised Projected Clustering for Classifying GABAergic Interneurons
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    Chapter 25 Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications
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    Chapter 26 Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions
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    Chapter 27 Classification of Early-Mild Subjects with Parkinson’s Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions
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    Chapter 28 False Positive Reduction in Detector Implantation
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    Chapter 29 Redundant Elements in SNOMED CT Concept Definitions
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    Chapter 30 Medical Ontology Validation through Question Answering
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    Chapter 31 Artificial Intelligence in Medicine
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    Chapter 32 Ontology-Based Reengineering of the SNOMED CT Context Model
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    Chapter 33 Using a Cross-Language Approach to Acquire New Mappings between Two Biomedical Terminologies
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    Chapter 34 Clinical Time Series Prediction with a Hierarchical Dynamical System
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    Chapter 35 Extraction, Analysis, and Visualization of Temporal Association Rules from Interval-Based Clinical Data
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    Chapter 36 Learning to Identify Inappropriate Antimicrobial Prescriptions
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    Chapter 37 An Approach for Mining Care Trajectories for Chronic Diseases
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    Chapter 38 Similarity Measuring between Patient Traces for Clinical Pathway Analysis
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    Chapter 39 Instantiating Interactive Narratives from Patient Education Documents
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    Chapter 40 Added-Value of Automatic Multilingual Text Analysis for Epidemic Surveillance
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    Chapter 41 An Approach for Query-Focused Text Summarisation for Evidence Based Medicine
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    Chapter 42 Clustering of Medical Publications for Evidence Based Medicine Summarisation
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    Chapter 43 Classifying Measurements in Dictated, Free-Text Radiology Reports
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Artificial Intelligence in Medicine
Published by
Springer Berlin Heidelberg, December 2013
DOI 10.1007/978-3-642-38326-7
978-3-64-238325-0, 978-3-64-238326-7

Peek, Niels, Marín Morales, Roque, Peleg, Mor

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Bachelor 1 25%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 25%