Biomedical Computing Tools for Pancreatic Cancer Res.

胰腺癌研究的生物医学计算工具。

• 批准号: 7025065
• 负责人: SIMON SHERMAN
• 金额: $ 48.62万
• 依托单位: UNIVERSITY OF NEBRASKA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7025065
• 关键词: Internet; automated data processing; cancer information system; cancer registry /resource; cancer risk; clinical research; computer program /software; computer system design /evaluation; data collection; data management; human subject; information retrieval; mathematical model; neoplasm /cancer diagnosis; neoplasm /cancer therapy; online computer; pancreas neoplasms; prognosis; questionnaires; statistics /biometry

DESCRIPTION (provided by applicant): Pancreatic cancer (PC) is a devastating disease with an increasing incidence in Western countries. It is the fourth-leading cause of cancer death in both men and women. The development of standardized data collection (patient information), together with a comprehensive plan for registering all PC cases and collecting data on individuals at high-risk of developing PC, are fundamental needs to achieve a better knowledge of this disease. The use of Multi-Tier Web-based approaches, Data Warehousing (DW), On-Line Analytical Processing (OLAP) and Data Mining (DM) technologies will be very beneficial for these purposes. These IT technologies, however, must be modernized to really be useful in PC research. The overall goal of this project is to develop an Integrated Biomedical Computing Tool (IBCT) for better understanding, treatment and prediction of PC, by using the power of computing and informatics sciences. The IBCT will contain three integrated components. The Pancreatic Cancer Collaborative Registry (PCCR) component will gather complete information on PC patients and individuals at high risk of developing PC. The Pancreatic Cancer Data Warehouse (PCDW) component will convert the collected data into the format suitable for data mining. The Pancreatic Cancer Statistical Modeling (PCSM) component, consisting of a set of statistical tables and models (including Bayesian Networks), will allow prediction of the risk of PC development and estimation of survival rates. This project will result in the design and development of databases, graphical interfaces and querying approaches, as well as the development of tools for data retrieval, processing and integration. During this project, a variety of computing tools necessary for in-depth incorporation of methodology of information technology (IT) into PC research will be constructed, tested, implemented and documented. The PCCR, PCDW and PCSM will be comprehensively evaluated using the ISO/IEC 14598 standard. A team of well-recognized experts in PC will test all components of the IBCT. This application provides complementary aspects to ongoing clinical, translational and conventional basic science research focused on the fight against PC. The IBCT to be developed in this project can also be used as an infrastructural foundation for research of other types of cancer and chronic diseases.

描述（由申请人提供）： 胰腺癌（PC）是一种毁灭性疾病，西方国家发生率越来越大。这是男性和女性癌症死亡的第四个主要原因。标准化数据收集（患者信息）的开发以及一项综合计划，用于注册所有PC病例并收集开发PC高风险的个人的数据，这是实现对该疾病的更好了解的基本需求。使用基于多层Web的方法，数据仓库（DW），在线分析处理（OLAP）和数据挖掘（DM）技术的使用将非常有益于这些目的。但是，这些IT技术必须现代化，以在PC研究中确实有用。该项目的总体目标是开发一种综合的生物医学计算工具（IBCT），以利用计算和信息学科学的力量，以更好地理解，治疗和预测PC。 IBCT将包含三个集成的组件。胰腺癌协作注册表（PCCR）组件将收集有关PC患者和个人高风险开发PC的完整信息。胰腺癌数据仓库（PCDW）组件将将收集的数据转换为适合数据挖掘的格式。胰腺癌统计建模（PCSM）组件由一组统计表和模型（包括贝叶斯网络）组成，将允许预测PC开发的风险和生存率的估计。该项目将导致数据库，图形接口和查询方法的设计和开发，以及开发用于数据检索，处理和集成的工具。在此项目期间，将构建，测试，实施和记录各种将信息技术方法（IT）进行深入纳入PC研究所需的各种计算工具。 PCCR，PCDW和PCSM将使用ISO/IEC 14598标准进行全面评估。由PC的公认专家组成的团队将测试IBCT的所有组件。该应用程序为正在进行的临床，转化和传统基础科学研究提供了互补的方面，该研究重点是与PC的斗争。在该项目中开发的IBCT也可以用作研究其他类型的癌症和慢性疾病的基础设施基础。