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- W1605821421 abstract "DESIGN AND IMPLEMENTATION OF REVERSE RISK ASSESSMENT SOFTWARE by Igor S. Tilinin This thesis addresses the problem of reverse risk assessment of diet-related chronic diseases. The proposed solution is based on a mathematical model which relates diet risk factors with the probability of contracting a chronic disease and a software system capable of generating a large number of possible food intake scenarios (patterns). The developed reverse risk assessment system features three-tier architecture and is built using open source technologies and components like JavaServer Faces, Apache Tomcat and MySQL relational database. A part of the system is a web-based application which allows the user to search and analyze food intake patterns pertaining to different diet types including vegan, vegetarian, Mediterranean and traditional American. Analysis of pattern sets generated by randomly selecting food items from the USDA food composition database reveals that the traditional American diet is characterized by the highest risk for contracting various cardiovascular diseases at a later age." @default.
- W1605821421 created "2016-06-24" @default.
- W1605821421 creator A5055880628 @default.
- W1605821421 date "2019-05-03" @default.
- W1605821421 modified "2023-09-22" @default.
- W1605821421 title "Design and implementation of reverse risk assessment software" @default.
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- W1605821421 doi "https://doi.org/10.31979/etd.4826-kzrs" @default.
- W1605821421 hasPublicationYear "2019" @default.
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