Relevance of Frequent Pattern (FP)-Growth-Based Association Rules on Liver Diseases

This publication has 27 references indexed in Scilit:

• An Application of Association Rule Mining to Extract Risk Pattern for Type 2 Diabetes Using Tehran Lipid and Glucose Study Database
  International Journal of Endocrinology and Metabolism, 2015
• Long term follow-up and liver-related death rate in patients with non-alcoholic and alcoholic related fatty liver disease
  BMC Gastroenterology, 2014
• Analysis of Ebolavirus with Decision Tree and Apriori algorithm
  International Journal of Machine Learning and Computing, 2014
• An intelligent knowledge mining model for kidney cancer using rough set theory
  International Journal of Bioinformatics Research and Applications, 2012
• Efficient mining of association rules for the early diagnosis of Alzheimer's disease
  Physics in Medicine & Biology, 2011
• Diabetes and Cancer: A Consensus Report
  CA: A Cancer Journal for Clinicians, 2010
• Occupational exposures and risks of liver cancer among Shanghai female textile workers—a case–cohort study
  International Journal of Epidemiology, 2005
• Induction of Association Rules: Apriori Implementation
  2002
• Mining frequent patterns without candidate generation
  2000
• Mining association rules between sets of items in large databases
  1993