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Artificial Intelligence in Medicine

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 4: A Multi-agent Planning Approach for the Generation of Personalized Treatment Plans of Comorbid Patients
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Chapter title
A Multi-agent Planning Approach for the Generation of Personalized Treatment Plans of Comorbid Patients
Chapter number 4
Book title
Artificial Intelligence in Medicine
Published in
Lecture notes in computer science, May 2013
DOI 10.1007/978-3-642-38326-7_4
Book ISBNs
978-3-64-238325-0, 978-3-64-238326-7
Authors

Inmaculada Sánchez-Garzón, Juan Fdez-Olivares, Eva Onaindía, Gonzalo Milla, Jaume Jordán, Pablo Castejón, Inmaculada Sánchez-Garzón, Eva Onaindía, Jaume Jordán, Pablo Castejón, Sánchez-Garzón, Inmaculada, Fdez-Olivares, Juan, Onaindía, Eva, Milla, Gonzalo, Jordán, Jaume, Castejón, Pablo

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 7%
United Kingdom 1 4%
Netherlands 1 4%
Poland 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Professor > Associate Professor 5 19%
Student > Master 4 15%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Other 6 22%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 17 63%
Philosophy 1 4%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 5 19%
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 02 May 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from Lecture notes in computer science
#4,645
of 8,122 outputs
Outputs of similar age
#120,172
of 195,175 outputs
Outputs of similar age from Lecture notes in computer science
#46
of 91 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 195,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.