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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 Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record
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    Chapter 2 Computer Vision: A Plea for a Constructivist View
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    Chapter 3 Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
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    Chapter 4 A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology
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    Chapter 5 Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval
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    Chapter 6 Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection
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    Chapter 7 Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up
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    Chapter 8 Modeling Clinical Guidelines through Petri Nets
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    Chapter 9 Optimization of Online Patient Scheduling with Urgencies and Preferences
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    Chapter 10 Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
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    Chapter 11 Analysing Clinical Guidelines’ Contents with Deontic and Rhetorical Structures
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    Chapter 12 A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance
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    Chapter 13 Goal-Based Decisions for Dynamic Planning
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    Chapter 14 Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients
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    Chapter 15 Feasibility of Case-Based Beam Generation for Robotic Radiosurgery
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    Chapter 16 Conversational Case-Based Reasoning in Medical Classification and Diagnosis
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    Chapter 17 Histopathology Image Classification Using Bag of Features and Kernel Functions
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    Chapter 18 Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study
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    Chapter 19 Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
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    Chapter 20 A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images
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    Chapter 21 Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care
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    Chapter 22 Steps on the Road to Clinical Application of Decision Support – Example TREAT
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    Chapter 23 Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing
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    Chapter 24 A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients
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    Chapter 25 A Mobile Clinical Decision Support System for Clubfoot Treatment
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    Chapter 26 An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression
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    Chapter 27 An Advanced Platform for Managing Complications of Chronic Diseases
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    Chapter 28 One Telemedical Solution in Bulgaria
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    Chapter 29 A Novel Multilingual Report Generation System for Medical Applications
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    Chapter 30 CORAAL – Towards Deep Exploitation of Textual Resources in Life Sciences
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    Chapter 31 Detecting Intuitive Mentions of Diseases in Narrative Clinical Text
  33. Altmetric Badge
    Chapter 32 Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature
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    Chapter 33 An Ontology for the Care of the Elder at Home
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    Chapter 34 Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises
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    Chapter 35 HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management
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    Chapter 36 Explaining Anomalous Responses to Treatment in the Intensive Care Unit
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    Chapter 37 Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval
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    Chapter 38 CodeSlinger: An Interactive Biomedical Ontology Browser
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    Chapter 39 Subgroup Discovery in Data Sets with Multi–dimensional Responses: A Method and a Case Study in Traumatology
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    Chapter 40 A Framework for Multi-class Learning in Micro-array Data Analysis
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    Chapter 41 Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
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    Chapter 42 Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System
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    Chapter 43 Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator
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    Chapter 44 Voice Pathology Classification by Using Features from High-Speed Videos
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    Chapter 45 Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines
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    Chapter 46 Automatic Detecting Documents Containing Personal Health Information
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    Chapter 47 Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis
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    Chapter 48 An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD
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    Chapter 49 Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis
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    Chapter 50 Mining Discriminant Sequential Patterns for Aging Brain
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    Chapter 51 The Role of Biomedical Dataset in Classification
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    Chapter 52 Online Prediction of Ovarian Cancer
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    Chapter 53 Prediction of Mechanical Lung Parameters Using Gaussian Process Models
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    Chapter 54 Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
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    Chapter 55 Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks
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    Chapter 56 Causal Probabilistic Modelling for Two-View Mammographic Analysis
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    Chapter 57 Modelling Screening Mammography Images: A Probabilistic Relational Approach
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    Chapter 58 Data-Efficient Information-Theoretic Test Selection
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    Chapter 59 Effect of Background Correction on Cancer Classification with Gene Expression Data
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    Chapter 60 On Quality of Different Annotation Sources for Gene Expression Analysis
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    Chapter 61 An Architecture for Automated Reasoning Systems for Genome-Wide Studies
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    Chapter 62 A Mutual Information Approach to Data Integration for Alzheimer’s Disease Patients
Overall attention for this book and its chapters
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Mentioned by

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1 patent

Citations

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10 Dimensions

Readers on

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10 Mendeley
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Title
Artificial Intelligence in Medicine
Published by
ADS, July 2009
DOI 10.1007/978-3-642-02976-9
ISBNs
978-3-64-202975-2, 978-3-64-202976-9
Editors

Combi, Carlo, Shahar, Yuval, Abu-Hanna, Ameen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Lecturer 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 5 50%
Readers by discipline Count As %
Engineering 2 20%
Unspecified 1 10%
Physics and Astronomy 1 10%
Computer Science 1 10%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2019.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#37,515
of 111,130 outputs
Outputs of similar age from ADS
#111
of 324 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 111,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.