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» A Mixture Model System for Medical and Machine Diagnosis
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ESANN
2007
13 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
13 years 10 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
INCDM
2009
Springer
131views Data Mining» more  INCDM 2009»
13 years 12 months ago
Computer-Aided Diagnosis in Brain Computed Tomography Screening
Currently, interpretation of medical images is almost exclusively made by specialized physicians. Although, the next decades will most certainly be of change and computer-aided dia...
Hugo Peixoto, Victor Alves
ECAI
2008
Springer
13 years 7 months ago
Incremental Diagnosis of DES by Satisfiability
Abstract. We propose a SAT-based algorithm for incremental diagnosis of discrete-event systems. The monotonicity is ensured by a prediction window that uses the future observations...
Alban Grastien, Anbulagan
ICML
2006
IEEE
14 years 6 months ago
Feature value acquisition in testing: a sequential batch test algorithm
In medical diagnosis, doctors often have to order sets of medical tests in sequence in order to make an accurate diagnosis of patient diseases. While doing so they have to make a ...
Victor S. Sheng, Charles X. Ling