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Curriculum in Biomedical Big Data: Skill Development and Hands-On Training

Curriculum in Biomedical Big Data: Skill Development and Hands-On Training
生物医学大数据课程:技能发展和实践培训
批准号:
9355635
负责人:
MATTHEW H SAMORE
金额:
$15.98万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-30 至 2019-06-30

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Project Summary Advances in genomics and biomedical generate huge amounts of data at the molecular level, while wide spread implementation of electronic medical records has dramatically increased digital documentation of healthcare information The objective of this proposal is to design, develop, and implement a cross-disciplinary, short-term training program in methods for utilizing Big Data in the health and biomedical science domain. Our curriculum will be organized as three two-week summer sessions: 1) “biomedical data science boot camp”; 2) “Targeted Learning with Case-Based Interdisciplinary Collaborative Learning,” and 3) "Integration, Exploration and Analysis of Heterogeneous Biomedical Data Sets for Prediction and Discovery”. Our program will include five knowledge categories: domain knowledge, computation, data representation, data visualization, and data analysis. These five areas will be integrated within an interactive learning environment that builds on principles of case-based learning and follows a flipped classroom paradigm. Program participants will be recruited from among trainees in biomedical informatics, molecular biology, population health sciences, and clinical investigation. Our curriculum will enable collaborating scientists to better comprehend the scientific language utilized in other disciplines. This will enhance communication and facilitate development of a synergistic environment which leads to improved overall quality of research studies. Upon completion of our short-term training, participants will be equipped to bootstrap their own big data research projects, participate in teams tackling big data problems in biomedicine, and pursue additional training in biomedical data sciences. The University of Utah is an ideal place for conducting this training with its superb collaborative academic environment. The University is home to the oldest academic biomedical informatics department in the country, Intermountain Healthcare is recognized as one of the world leaders in integrating informatics into clinical care, and the Salt Lake VA, is the center of VA's major informatics initiatives. Researchers from these three sites are being brought together to train the next generation of big data professionals equipped to propel data-driven analytics in medicine.
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Modeling and Simulation to Support Epidemiological Decision-Making in Healthcare Settings
  • 批准号:
    10800785
  • 项目类别:
  • 资助金额:
    $60.0万
  • 财政年份:
    2020
  • 负责人:
    MATTHEW H SAMORE
  • 依托单位:
Modeling and Simulation to Support Epidemiological Decision-Making in Healthcare Settings
  • 批准号:
    10462461
  • 项目类别:
  • 资助金额:
    $60.0万
  • 财政年份:
    2020
  • 负责人:
    MATTHEW H SAMORE
  • 依托单位:
Modeling and Simulation to Support Epidemiological Decision-Making in Healthcare Settings
  • 批准号:
    10220770
  • 项目类别:
  • 资助金额:
    $120.0万
  • 财政年份:
    2020
  • 负责人:
    MATTHEW H SAMORE
  • 依托单位:
Modeling and Simulation to Support Antibiotic Stewardship and Epidemiological Decision-Making in Healthcare Settings
  • 批准号:
    9420334
  • 项目类别:
  • 资助金额:
    $65.0万
  • 财政年份:
    2017
  • 负责人:
    MATTHEW H SAMORE
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis