A Holistic Approach to Information Processing for Biomedical Networks

生物医学网络信息处理的整体方法

• 批准号: 8324015
• 负责人: GIL ALTEROVITZ
• 金额: $ 23.89万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8324015
• 关键词: Architecture; Bioinformatics; Clinical; Clinical Informatics; Complex; Computer software; Data; Databases; Development; Electronic Health Record; Gene Expression Regulation; Genes; Genetic screening method; Growth; Human; Laboratories; Lead; Link; Medical; Mentors; Methodology; Methods; Network-based; Patients; Pattern; Procedures; Proteins; Protocols documentation; Regulator Genes; Research; Research Personnel; Research Training; System; Systems Analysis; Testing; Time; Training; Work; base; biomedical informatics; career development; computerized data processing; cost; design; holistic approach; information processing; new technology; novel; programs

The applicant describes a 5-year career development program leading to independent academic research in biomedical networks under Marco Ramoni and co-mentors David Bates, Isaac Kohane, and Peter Szolovits. The applicant proposes a combined training and research program to lead to independence. Training involves biomedical methods underlying the networks being investigated by the applicant. On the research front, the hypothesis is that a holistic approach to the processing of information in biomedical networks is able to uncover novel types of relationships that could not be identified through current reductionistic methods. The aims are: 1) Design and develop a methodological framework, based on statistical signal processing, able to analyze biomedical networks and discover hidden relationships. 2) Develop and implement a scalable, modular architecture that is able to adaptively integrate information into the framework described in aim 1. 3) Apply the architecture in specific aim 2 to the development of a system for the analysis of large-scale EHR-based clinical informatics networks.

申请人描述了一个5年的职业发展计划，导致独立的学术研究， 在Marco Ramoni和共同导师大卫贝茨，艾萨克Kohane和彼得Szolovits的生物医学网络。 申请人提出了一个综合的培训和研究计划，以导致独立。训练涉及 申请人正在研究的网络的生物医学方法。在研究方面， 一个假设是，一个整体的方法来处理生物医学网络中的信息是能够揭示 通过当前的简化方法无法识别的新型关系。其目标是： 1)设计和开发一个方法框架，基于统计信号处理，能够分析 生物医学网络和发现隐藏的关系。2)开发和实施可扩展的模块化 能够自适应地将信息集成到目标1所述框架中的架构。3)应用 体系结构的具体目标2的发展，为分析大规模的EHR为基础的临床 信息学网络。

项目成果

Classification of hospital acquired complications using temporal clinical information from a large electronic health record.

• DOI: 10.1016/j.jbi.2015.12.008
• 发表时间: 2016-02
• 期刊: Journal of biomedical informatics
• 影响因子: 4.5
• 作者: Warner JL;Zhang P;Liu J;Alterovitz G
• 通讯作者: Alterovitz G

REVERSE ENGINEERING AND SYNTHESIS OF BIOMOLECULAR SYSTEMS - Session Introduction.

生物分子系统的逆向工程和合成 - 会议简介。

• 发表时间: 2011
• 期刊: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
• 作者: Alterovitz,Gil;Cavalcanti,Silvio;Muso,TaroM;Ramoni,MarcoF;Wang,May
• 通讯作者: Wang,May