A Review on algorithms of Liver Disease Diagnosis
Rahul Sakharam Ishi
, Mr. Vijay Birchha
Index Term: Liver Diagnosis, Bayes classifier, Back Propagation
Abstract— Unlimited consumption of alcohol causes for rising of liver disease in patients, harmful gases in surrounding, eating of contaminated food, drugs and pickles also another reason for causing of liver disease. These algorithms are used to reduce work of doctors. These algorithms consider four criteria: Precision, Accuracy, Specificity and Sensitivity. The liver act as supporter of every organ of the body and require for survival. Liver disease not shows any symptoms initially or symptoms may not see goodly. Energy loss, weakness are some of the symptoms of liver diseases. Liver functional test is used to diagnose this disease. Number of techniques is used to detect the liver disease like ANN classification, Fuzzy techniques; data mining technique is also used. In this paper few of the techniques are discussed with advantage and disadvantage.
"A Review on algorithms of Liver Disease Diagnosis ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.811 - 816, May-2016, Available :https://ijsdr.org/papers/IJSDR1605147.pdf
Volume 1
Issue 5,
May-2016
Pages : 811 - 816
Paper Reg. ID: IJSDR_160452
Published Paper Id: IJSDR1605147
Downloads: 000347054
Research Area: Engineering
Country: Shirpur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
