Some critical remarks on the initial detection of lung ailments using clinical data and chest radiography

Rijal, O.M.; Iqbal, M.; Yunus, A.; Noor, N.M. (2009) Some critical remarks on the initial detection of lung ailments using clinical data and chest radiography. In: 13th WSEAS International Conference on Computers, JUL 23-25, 2009 , Rhodes, GREECE.

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Abstract

An important area of health care is the problem of detecting lung ailments such as tuberculosis, pneumonia and lung cancer for individuals making their initial visit to a medical institution. Clinical data involving symptoms and signs has been the centre of interest for diagnosing patients. Important decisions sometimes need to be made before the availability of the results of further tests. However, besides clinical data, the chest radiograph is also available. This study uses logistic regression models to critically reconsider the use of age, loss of appetite, loss of weight and cough for predicting respiratory disease type. The main result of this study is that the probability of misclassifying the three disease type is large, and that good model fitting does not guarantee correct diagnosis. As a viable substitute, a graphical method of detection with an 85% chance of correct classification based on information extracted from the chest radiograph images is proposed.

Item Type: Conference or Workshop Item (Paper)
Creators:
  1. Rijal, O.M.(University of Malaya)
  2. Iqbal, M.(University of Malaya)
  3. Yunus, A.
  4. Noor, N.M.
Additional Information: Univ Malaya, Inst Math Sci, Fac Sci, Kuala Lumpur, Malaysia
Uncontrolled Keywords: Statistical Detection; Error Probability; Lung Disease; Clinical Data; Chest Radiography
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science > Institute of Mathematical Sciences
Depositing User: Mr. Faizal Hamzah
Date Deposited: 17 Oct 2011 09:36
Last Modified: 17 Oct 2011 09:36
URI: http://eprints.um.edu.my/id/eprint/2209

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