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Home > Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings > Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings |
Riccardo Bellazzi; Ameen Abu-Hanna; Jim Hunter
Springer Berlin Heidelberg
Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings
Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
Authors

Alex Aussem; Sergio Rodrigues de Morais; Marilys Corbex

ARI Id

1664728182644_2964179

Access

Not Available Free

Pages

326-330

DOI

10.1007/978-3-540-73599-1_43

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-73599-1_43

Table of Contents of Book
Showing 1 to 20 of 77 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Front Matter
1-1
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Thomas Guyet; Catherine Garbay; Michel Dojat
3-12
MRF Agent Based Segmentation: Application to MRI Brain Scans
B. Scherrer; M. Dojat; F. Forbes; C. Garbay
13-23
R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams
Shizhuo Zhu; Joanna Abraham; Sharoda A. Paul; Madhu Reddy; John Yen; Mark Pfaff et al.
24-33
Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations
Marjorie McShane; Sergei Nirenburg; Stephen Beale; Bruce Jarrell; George Fantry
34-43
Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy
Mamadou Ndiaye; Abel Kinie; Jean-Jacques Montois
44-48
An Ontology-Driven Agent-Based Clinical Guideline Execution Engine
David Isern; David Sànchez; Antonio Moreno
49-53
Front Matter
55-55
An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set
Derek Sleeman; Nick Fluck; Elias Gyftodimos; Laura Moss; Gordon Christie
57-66
Temporal Data Mining with Temporal Constraints
M. Campos; J. Palma; R. Marín
67-76
A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease
Maurice Prijs; Linda Peelen; Paul Bresser; Niels Peek
77-86
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
Stefan Visscher; Peter Lucas; Ildikó Flesch; Karin Schurink
87-96
Discovery and Integration of Organ-Failure Episodes in Mortality Prediction
Tudor Toma; Ameen Abu-Hanna; Robert-Jan Bosman
97-106
Front Matter
107-107
Contrast Set Mining for Distinguishing Between Similar Diseases
Petra Kralj; Nada Lavrač; Dragan Gamberger; Antonija Krstačić
109-118
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease
Matjaž Kukar; Luka Šajn; Ciril Grošelj; Jera Grošelj
119-129
Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing
Wiebke Sieben; Ursula Gather
130-138
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Nevin L. Zhang; Shihong Yuan; Tao Chen; Yi Wang
139-143
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
Igor Trajkovski; Nada Lavrač
144-148
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 77 entries
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