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Feature Selection, Ranking of Each Feature and Classification for the Diagnosis of Community Acquired Legionella Pneumonia

  • Enrique Monte
  • Jordi Soléi Casals
  • Jose Antonio Fiz
  • Nieves Sopena
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

Diagnosis of community acquired legionella pneumonia (CALP) is currently performed by means of laboratory techniques which may delay diagnosis several hours. To determine whether ANN can categorize CALP and non-legionella community-acquired pneumonia (NLCAP) and be standard for use by clinicians, we prospectively studied 203 patients with community-acquired pneumonia (CAP) diagnosed by laboratory tests. Twenty one clinical and analytical variables were recorded to train a neural net with two classes (LCAP or NLCAP class). In this paper we deal with the problem of diagnosis, feature selection, and ranking of the features as a function of their classification importance, and the design of a classifier the criteria of maximizing the ROC (Receiving operating characteristics) area, which gives a good trade-off between true positives and false negatives. In order to guarantee the validity of the statistics; the train-validation-test databases were rotated by the jackknife technique, and a multistarting procedure was done in order to make the system insensitive to local maxima.

Keywords

Feature Selection Creatine Kinase Recognition Rate Interstitial Lung Disease Good Subset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Enrique Monte
    • 1
  • Jordi Soléi Casals
    • 2
  • Jose Antonio Fiz
    • 3
  • Nieves Sopena
    • 4
  1. 1.Dpt.TSCUniversitat Politécnica de Catalunya BarcelonaSpain
  2. 2.Signal Processing GroupUniversitat de VicSpain
  3. 3.Pneumology dptSpain
  4. 4.Infectious Diseases Unit, Hospital U. Germans Trias i Pujol of BadalonaSpain

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