نتایج جستجو برای: population data
تعداد نتایج: 2902324 فیلتر نتایج به سال:
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
In this project, I integrated data about Fraser River salmon populations and develop an interactive data visualization tool that allows fisheries scientists and managers to explore this data at different spatial and temporal scales. The objective of this project is to provide fisheries scientists and managers with the tools to easily and comprehensively explore trends in salmon data, and discov...
the subjects of the study are only the tefl teachers and students at gilan university. to obtain the desired data, a questionnaire which was based on the theories and disecussions gathered, was used as the main data gathering instrument. to determine the degree of relationship between variables, covariance and pearson product moment correlation coefficient were the formulas applied. the data we...
The goal of the keyCRF project is the creation of a semantically annotated electronic Case Report Form (eCRF) that can enable the pre-population of the eCRF from data elements in an EHR summary document through the use of semantically linked Common Data Element definitions across care and research domains
BACKGROUND Typically housing and health surveys are not integrated together and therefore are not representative of population health or national housing stocks. In addition, the existing channels for distributing information about housing and health issues to the general public are limited. The aim of this study was to develop a data collection and response system that would allow us to assess...
The accumulating amounts of data are making traditional analysis methods impractical. Novel tools employed in Data Mining (DM) provide a useful alternative framework that addresses this problem. This research suggests a technique to identify certain patient populations. Our model examines the patient population and clusters certain groups. Those subpopulations are then classified in terms of th...
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