Internet Archive Scholar
Filters
























1 Hit in 0.81 sec

A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty

Mohammad Shahadat Hossain, Faisal Ahmed, Fatema-Tuj-Johora, Karl Andersson
2017 Journal of medical systems  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.3 MB)
https://web.archive.org/web/20171010055930/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/263/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjEwMDcvczEwOTE2LTAxNy0wNjg1LTgucGRm.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL. The file type is application/pdf.

The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient.  ...  The knowledge base of this system is constructed by taking experts' suggestions and by analyzing historical data of TB patients.  ...  TUBERDIAG [20] is also a fuzzy rule based system for detecting TB which combines positive and negative knowledge.  ... 
doi:10.1007/s10916-017-0685-8 pmid:28138886 pmcid:PMC5283504 fatcat:zhz67qywybb6pkinfgrbx3ox6a
Citation

Mohammad Shahadat Hossain, Faisal Ahmed, Fatema-Tuj-Johora, Karl Andersson. "A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty." Journal of medical systems 41.3 (2017)