|Author||Nguyen Hoang Phuong ♦ Prasad, N.R. ♦ Dang Huu Hung ♦ Drake, J.T.|
|Sponsorship||Int. Fuzzy Syst. Assoc.|
|Source||IEEE Xplore Digital Library|
|Publisher||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Special computer methods|
|Subject Keyword||Computer aided software engineering ♦ Lungs ♦ Diseases ♦ Medical expert systems ♦ History ♦ Diagnostic expert systems ♦ Medical diagnostic imaging ♦ Medical diagnosis ♦ Fuzzy logic ♦ Decision making|
|Abstract||In recent years, we have developed an expert system for the diagnosis of lung diseases using cased-based reasoning and other rule-based systems using fuzzy logic. Case-based reasoning is the process of using solutions to previously encountered problems as a basis for reasoning solution to new problems. The knowledge base of the Case-Based Reasoning System for Diagnosis of Lung Diseases is a case base of patient records consisting of documented experience. On the other hand, the knowledge base of the Expert System for Lung Diseases is a set of IF-THEN rules based on the experience of medical doctors. In fact, these two systems make diagnoses of lung diseases based on two different knowledge bases. One is a case base and other is a rule base. Our design combines the diagnoses of these two methods in order to obtain improved accuracy in lung disease diagnosis. In this paper, we offer an approach to combining case-based reasoning and rule-based reasoning for lung disease diagnosis.|
|Description||Author affiliation: The Rio Grande Inst. for Soft Comput., New Mexico State Univ., Las Cruces, NM, USA (Nguyen Hoang Phuong)|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Educational Use||Research ♦ Reading|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Rights Holder||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Size (in Bytes)||452.28 kB|
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