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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
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    Chapter 1 On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information
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    Chapter 2 Quality Assessment of Hemodialysis Services through Temporal Data Mining
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    Chapter 3 Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases
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    Chapter 4 Prognosis of Approaching Infectious Diseases
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    Chapter 5 Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data
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    Chapter 6 NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report
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    Chapter 7 Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy
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    Chapter 8 How to Represent Medical Ontologies in View of a Semantic Web?
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    Chapter 9 Using Description Logics for Managing Medical Terminologies
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    Chapter 10 Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions
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    Chapter 11 Speech Interfaces for Point-of-Care Guideline Systems
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    Chapter 12 Text Categorization prior to Indexing for the CISMEF Health Catalogue
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    Chapter 13 Bodily Systems and the Modular Structure of the Human Body
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    Chapter 14 Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation
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    Chapter 15 Qualitative Simulation of Shock States in a Virtual Patient
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    Chapter 16 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory
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    Chapter 17 A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease
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    Chapter 18 DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines
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    Chapter 19 Experiences in the Formalisation and Verification of Medical Protocols
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    Chapter 20 Enhancing Conventional Web Content with Intelligent Knowledge Processing
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    Chapter 21 Linking Clinical Guidelines with Formal Representations
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    Chapter 22 Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy
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    Chapter 23 The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions
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    Chapter 24 Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients
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    Chapter 25 Informal and Formal Medical Guidelines: Bridging the Gap
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    Chapter 26 Rhetorical Coding of Health Promotion Dialogues
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    Chapter 27 Learning Derived Words from Medical Corpora
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    Chapter 28 Learning-Free Text Categorization
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    Chapter 29 Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web
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    Chapter 30 Linking Rules to Terminologies and Applications in Medical Planning
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    Chapter 31 Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines
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    Chapter 32 Attribute Interactions in Medical Data Analysis
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    Chapter 33 Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma
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    Chapter 34 Analysis of Gene Expression Data by the Logic Minimization Approach
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    Chapter 35 A Journey trough Clinical Applications of Multimethod Decision Trees
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    Chapter 36 Detailing Test Characteristics for Probabilistic Networks
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    Chapter 37 Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation
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    Chapter 38 Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database
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    Chapter 39 A Bayesian Neural Network Approach for Sleep Apnea Classification
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    Chapter 40 Probabilistic Networks as Probabilistic Forecasters
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    Chapter 41 Finding and Explaining Optimal Treatments
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    Chapter 42 Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support
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    Chapter 43 Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment
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    Chapter 44 Constraint Reasoning in Deep Biomedical Models
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    Chapter 45 Interactive Decision Support for Medical Planning
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    Chapter 46 Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer
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    Chapter 47 WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers
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    Chapter 48 VIE-DIAB: A Support Program for Telemedical Glycaemic Control
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    Chapter 49 Drifting Concepts as Hidden Factors in Clinical Studies
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    Chapter 50 Multi-relational Data Mining in Medical Databases
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    Chapter 51 Is It Time to Trade “Wet-Work” for Network?
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    Chapter 52 Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

1 policy source
1 Facebook page


1 Dimensions

Readers on

1 Mendeley
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Artificial Intelligence in Medicine
Published by
Lecture notes in computer science, January 2003
DOI 10.1007/b12009
978-3-54-020129-8, 978-3-54-039907-0

Michel Dojat, Elpida T. Keravnou, Pedro Barahona


Dojat, Michel, Keravnou, Elpida, Barahona, Pedro

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 April 2015.
All research outputs
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 8,599,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,743 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% of its peers.
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 263,123 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.