%0 Journal Article
%T Case Based Medical Diagnosis of Occupational Chronic Lung Diseases From Their Symptoms and Signs
%A Prempal Singh Tomar
%A Ranjit Singh
%A P K Saxena
%A Jeetu Sharma
%J International Journal of Biometric and Bioinformatics
%D 2011
%I Computer Science Journals
%X The clinical decision support system using the case based reasoning (CBR) methodology of ArtificialIntelligence (AI) presents a foundation for a new technology of building intelligent computer aideddiagnoses systems. This Technology directly addresses the problems found in the traditional ArtificialIntelligence (AI) techniques, e.g. the problems of knowledge acquisition, remembering, robust andmaintenance. In this paper, we have used the Case Based Reasoning methodology to develop a clinicaldecision support system prototype for supporting diagnosis of occupational lung diseases. 127 caseswere collected for 14 occupational chronic lung diseases, which contains 26 symptoms. After removingthe duplicated cases from the database, the system has trained set of 47 cases for Indian Lung patients.Statistical analysis has been done to determine the importance values of the case features. The retrievalstrategy using nearest-neighbor approaches is investigated. The results indicate that the nearestneighbor approach has shown the encouraging outcome, used as retrieval strategy. A ConsultantPathologist¡¯s interpretation was used to evaluate the system. Results for Sensitivity, Specificity, PositivePrediction Value and the Negative Prediction Value are 95.3%, 92.7%, 98.6% and 81.2% respectively.Thus, the result showed that the system is capable of assisting an inexperience pathologist in makingaccurate, consistent and timely diagnoses, also in the study of diagnostic protocol, education, selfassessment,and quality control. In this paper, clinical decision support system prototype is developedfor supporting diagnosis of occupational lung diseases from their symptoms and signs throughemploying Microsoft Visual Basic .NET 2005 along with Microsoft SQL server 2005 environment withthe advantage of Object Oriented Programming technology
%K Clinical Support System
%K Artificial Intelligence
%K Case-Based Reasoning
%K Pathologist
%U http://cscjournals.org/csc/manuscript/Journals/IJBB/volume5/Issue4/IJBB-128.pdf