Data Linkage Methods in Manitoba

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

non-parametric methods in genetic linkage analysis

one of the most important goals for researchers in the clinic is to try to find newer and more effective ways to diagnose and cure the diseases. these clinical advances can create new points of view in other sciences and their combination with basic sciences such as statistics can improve these researches. in statistical genetics, linkage analysis is a way of finding the exact locus of a diseas...

Monitoring disease burden and preventive behavior with data linkage: cervical cancer among aboriginal people in Manitoba, Canada.

OBJECTIVES This study sought to estimate rates of cervical cancer and Papanicolaou testing among Aboriginal and non-Aboriginal women in Manitoba, Canada. METHODS Data were derived through linking of administrative databases. RESULTS In comparison with non-Aboriginal women, Aboriginal women had 1.8 and 3.6 times the age-standardized incidence rates of in situ and invasive cervical cancer, re...

Data Linkage Methods: Overview of Computer Science Research

Fuzzy Key Linkage Robust Data Mining Methods for Real Databases

Results of data mining depend heavily on the quality of linkage keys within a search dataset and within its database target. Linkage failures due to errors or variations in linkage keys have few symptoms, and can hide or distort what data have to tell us. More robust methods have promise as remedies, but require careful planning and understanding of specialized technologies. A tour of fuzzy lin...