NDLI: Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android

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Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android

Content Provider	Scilit
Author	Safira, Laura Si., M. T Budhi Irawan S. T., M. T Casi Setianingsih S.
Copyright Year	2019
Description	Journal: Journal of Physics: Conference Series In the digital era, computers already have an important role in the medical world. One of the roles of the computer is to help diagnose a patient's disease. Cirrhosis is a disease that attacks all parts of the liver with the formation of connective tissue characterized by nodules. Cirrhosis is also a chronic liver disease in which the liver is slowly damaged which lasts for a long time. This damage can expand so that the liver can stop functioning. This condition is called liver failure. An application to detect an illness desperately needs an expert system that functions as the brain of a machine. Accurate and precise calculations are needed to diagnose symptoms so that they can infer output using the certainty Factor (CF). This paper describes a process to detect liver disease based on weighting combinations of symptoms. A Smartphone application is produced which requires patients to answer about ten questions. The final result of this application is a diagnosis of cirrhosis. From the results of the experiment, it can be concluded that the accuracy of this application is 100%
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1201/1/012053/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1201/1/012053
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1201
Language	English
Publisher	IOP Publishing
Publisher Date	2019-05-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Characterization and Testing of Materials Certainty Factor Liver Disease Cirrhosis Based
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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