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Artificial Intelligence in Medicine

Overview of attention for book
Cover of 'Artificial Intelligence in Medicine'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Physics of the Medical Record: Handling Time in Health Record Studies
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    Chapter 2 Artificial Intelligence in Medicine
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    Chapter 3 An Active Learning Framework for Efficient Condition Severity Classification
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    Chapter 4 Predictive Monitoring of Local Anomalies in Clinical Treatment Processes
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    Chapter 5 Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces
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    Chapter 6 Data Driven Order Set Development Using Metaheuristic Optimization
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    Chapter 7 Conceptual Modeling of Clinical Pathways: Making Data and Processes Connected
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    Chapter 8 Distributed Learning to Protect Privacy in Multi-centric Clinical Studies
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    Chapter 9 Mining Hierarchical Pathology Data Using Inductive Logic Programming
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    Chapter 10 What if Your Floor Could Tell Someone You Fell? A Device Free Fall Detection Method
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    Chapter 11 Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction
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    Chapter 12 A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery
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    Chapter 13 Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems
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    Chapter 14 Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies
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    Chapter 15 Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks
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    Chapter 16 On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer
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    Chapter 17 Identifying Chemotherapy Regimens in Electronic Health Record Data Using Interval-Encoded Sequence Alignment
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    Chapter 18 An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care
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    Chapter 19 A Model for Cross-Platform Searches in Temporal Microarray Data
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    Chapter 20 Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks
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    Chapter 21 Uncertainty Propagation in Biomedical Models
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    Chapter 22 A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes
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    Chapter 23 Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data
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    Chapter 24 Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study
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    Chapter 25 Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform
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    Chapter 26 Extracting Adverse Drug Events from Text Using Human Advice
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    Chapter 27 An Analysis of Twitter Data on E-cigarette Sentiments and Promotion
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    Chapter 28 Determining User Similarity in Healthcare Social Media Using Content Similarity and Structural Similarity
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    Chapter 29 Biomedical Concepts Extraction Based on Possibilistic Network and Vector Space Model
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    Chapter 30 Answering PICO Clinical Questions: A Semantic Graph-Based Approach
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    Chapter 31 Semantic Analysis and Automatic Corpus Construction for Entailment Recognition in Medical Texts
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    Chapter 32 Automatic Computing of Global Emotional Polarity in French Health Forum Messages
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    Chapter 33 Automatic Symptom Extraction from Texts to Enhance Knowledge Discovery on Rare Diseases
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    Chapter 34 A Composite Model for Classifying Parotid Shrinkage in Radiotherapy Patients Using Heterogeneous Data
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    Chapter 35 Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson’s Disease
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    Chapter 36 Using Multivariate Sequential Patterns to Improve Survival Prediction in Intensive Care Burn Unit
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    Chapter 37 A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes
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    Chapter 38 Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model
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    Chapter 39 Detecting New Evidence for Evidence-Based Guidelines Using a Semantic Distance Method
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    Chapter 40 Analyzing Recommendations Interactions in Clinical Guidelines
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    Chapter 41 A General Approach to Represent and Query Now-Relative Medical Data in Relational Databases
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    Chapter 42 Temporal Conformance Analysis of Clinical Guidelines Execution
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    Chapter 43 Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions
Attention for Chapter 5: Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces
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Chapter title
Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces
Chapter number 5
Book title
Artificial Intelligence in Medicine
Published in
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-19551-3_5
Book ISBNs
978-3-31-919550-6, 978-3-31-919551-3
Authors

Ben-Manson Toussaint, Vanda Luengo

Editors

John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 23%
Student > Ph. D. Student 3 23%
Professor 2 15%
Student > Master 2 15%
Unspecified 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Engineering 2 15%
Computer Science 2 15%
Philosophy 1 8%
Unspecified 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2017.
All research outputs
#20,333,181
of 22,877,793 outputs
Outputs from Lecture notes in computer science
#6,993
of 8,130 outputs
Outputs of similar age
#296,044
of 353,326 outputs
Outputs of similar age from Lecture notes in computer science
#216
of 257 outputs
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So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.