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Methodology for Adaptive Treatment Strategies (RMI)

Methodology for Adaptive Treatment Strategies (RMI)
适应性治疗策略 (RMI) 方法
批准号:
6891136
负责人:
SUSAN A MURPHY
金额:
$11.48万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-30 至 2006-07-31

项目摘要

项目成果

SUSAN A MURPHY的其他基金

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中文摘要
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描述(由申请人提供):
英文摘要
DESCRIPTION (provided by applicant): This application proposes a network to stimulate and foster collaborations that have the potential to lead to new methodology for the development and evaluation of adaptive treatment strategies for chronic disorders. These strategies are individually tailored approaches to treatment that correspond to the adaptive nature of clinical practice. For example, in practice, patients suffering from chronic disorders such as substance abuse, mental illness and HIV infection are treated sequentially, where decisions to modify or change treatment over time are made based on the clinician's and patient's evaluation of ongoing response, burden and adherence. Both data analysis methods and experimental data collection methods for informing and evaluating adaptive treatment strategies are in their infancy. This issue can be viewed from the perspective of computer scientists and control engineers as a multi-stage decision problem; however there has been little interchange between clinicians involved in the management of these disorders, statisticians who work in data analysis and design and computer scientists. Input from all of these areas has the potential to jump-start the methodological development in a manner that will ensure that major challenges will be identified and addressed in the most appropriate fashion. This network includes computer scientists, psychiatrists, psychologists, engineers and statisticians. We will write a joint position paper identifying the major challenges and potential solutions and we will form small collaborative groups that will work to address these methodological challenges.
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会议论文
Continual Optimization and Personalization of Just-in-Time Adaptive Interventions for SUD Prevention, Treatment, and Recovery
Continual Optimization and Personalization of Just-in-Time Adaptive Interventions for SUD Prevention, Treatment, and Recovery
Continual Optimization and Personalization of Just-in-Time Adaptive Interventions for SUD Prevention, Treatment, and Recovery
mDOT TR&D2 (Optimization): Dynamic Optimization of Continuously Adapting mHealth Interventions via Prudent, Statistically Efficient, and Coherent Reinforcement Learning
  • 批准号:
    10541807
  • 项目类别:
  • 资助金额:
    $19.46万
  • 财政年份:
    2020
  • 负责人:
    SUSAN A MURPHY
  • 依托单位: