DIETARY CONSTITUENT CANCER MODULATION ANALYSIS SYSTEM

描述（主要研究者摘要）：饮食 成分-癌症调制分析系统是一个基于微型计算机， 用户友好的工具，使大型国家调查，如美国农业部 全国食物消费量调查与复合营养素和复合成分 研究人员无需计算机即可访问的数据库 预算和专门的计算机编程知识。 DC-CMAS维护 以前仅在大型机版本中提供的详细程度。 这 系统允许分析食物成分摄入量的分布 并将这些结果与生物学参数相结合。 DC-CMAS包含 (1)美国食品消费调查结果，（2）数据库提供 食物成分（营养素，污染物， 食品添加剂和食品的其他成分），以及（3）生物 食物成分的特征（推荐摄入量，代谢 活动、毒理学总结等）。在第一阶段， 通过建立一个微型计算机系统， 包含完整的USDA CSFII食品消费数据和成分 数据库，包括手册8，来自FDA总饮食的营养数据 研究和食品数据超过50天然有毒物质。 在第二阶段， 新的美国农业部全国食品消费调查， 广泛的成分数据集，以及食物的生物学特性 和食品成分。 DC-CMAS软件将为用户提供一个强大的 以知识为基础的界面，以英语指定其分析 查询。

DESCRIPTION (Principal Investigator's Abstract): The Dietary Constituent-Cancer Modulation Analysis System is a microcomputer-based, user friendly tool which makes large national surveys such as the USDA Nationwide Food Consumption Survey and complex nutrient and constituent databases readily accessible to researchers without requiring computer budgets and specialized computer programming expertise. DC-CMAS maintains the level of detail previously available only in mainframe versions. This system permits analysis of the distribution of intake of food constituents and integrates those results with biological parameters. DC-CMAS contains (1) U.S. food consumption survey results, (2) databases providing information on the levels of food constituents (nutrients, contaminants, food additives, and other components of food), and (3) biological characteristics of food constituents (recommended intake levels, metabolic activities, toxicological summaries, etc.). During Phase I, the feasibility of the system was demonstrated by creating a microcomputer system containing the complete USDA CSFII food consumption data and constituent databases, including Handbook eight, nutrient data from the FDA total diet study, and food data on over 50 natural toxicants. During Phase II, the system will be completed: the new USDA Nationwide Food Consumption Survey, extensive constituent datasets, and the biological characteristics of foods and food constituents. DC-CMAS software will provide users with a powerful knowledge-based interface to specify their analyses in English-language queries.