Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring system

为吸烟者开发吸烟者 (S4S)：集体智慧定制系统

基本信息

批准号：
8581564
负责人：
Rajani Sadasivam
金额：
$ 14.08万
依托单位：
UNIV OF MASSACHUSETTS MED SCH WORCESTER
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-08 至 2018-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8581564
关键词：
Address Algorithms Area Attitude Behavior Behavioral Cancer Etiology Carbon Monoxide Cessation of life Characteristics Clinical Trials Clinical Trials Design Code Communities Complex Computational algorithm Computers Data Databases Development Doctor of Philosophy Electronic Mail Engineering Evaluation Feedback Funding Goals Health Health Communication Health behavior Healthcare Intelligence Internet Intervention Knowledge Learning Life Style Link Machine Learning Malignant Neoplasms Marketing Measures Mentors Metadata Modeling Outpatients Patients Plant Roots Population Heterogeneity Randomized Receiver Operator Characteristics Research Research Design Research Priority Role Smoker Smoking Smoking Behavior Statistical Methods Structure System Testing Time Tobacco Tobacco Use Cessation Training United States National Institutes of Health Visit Withholding Treatment Work Writing base behavior change communication behavior consumer demand demographics evidence base experience improved insight next generation novel novel strategies patient oriented programs research study skills smoking cessation symposium theories web services web site

项目摘要

DESCRIPTION (provided by applicant): Smoking is still the number one preventable cause of cancer death. New approaches are needed to engage smokers in the 21st century in smoking cessation. I propose to develop S4S (Smokers for Smoker), a next- generation patient-centered computer tailored health communication (CTHC) system. Unlike current rule- based CTHCs, S4S will replace rules with complex machine learning algorithms, and use the collective experiences of thousands of smokers engaged in a web-assisted tobacco intervention to enhance personally- relevant tailoring for new smokers entering the system. This NCI K07 will provide a mentored research experience, giving me the opportunity to acquire new competencies in cancer health communication for behavior change, research design and statistical methods underlying clinical trial implementation and evaluation. I will adapt collectiv intelligence algorithms that have been used outside healthcare by companies like Amazon and Google to enhance CTHC. Using knowledge from scientific experts, current CTHC collect baseline patient "profiles" and then use expert-written, rule-based systems to tailor messages to patient subsets. Such theory-based "market segmentation has been effective in helping patients reach lifestyle goals. However, there is a natural limit in the ability of a rule-based system to truly personalize content, and adapt personalization over time. Current CTHC have reached this limit, and I propose to go beyond. My first aim is to develop the Web 2.0 "S4S" recommender system. My second aim is to evaluate S4S within the context of a NCI funded web-assisted tobacco intervention (Decide2Quit.org). In my efforts, I will guided by my primary mentor (Dr. Houston, MD MPH) and two other mentor teams: The Cancer Health Behavior and Communication Team (Stephenie Lemon, PhD and Kathleen Mazor, EdD), and the Clinical Trial Design and Analysis Team (Jeroan Allison, MD, MS and Arlene Ash, PhD). My comprehensive training also includes coursework, seminars, and conferences.

描述（由申请人提供）：吸烟仍然是癌症死亡的第一大原因。需要采用新的方法来吸引21世纪的吸烟者戒烟。我建议开发S4S（吸烟者的吸烟者），这是一种以患者为中心的计算机量身定制的健康通信（CTHC）系统。与当前的基于规则的CTHC不同，S4S将用复杂的机器学习算法替换规则，并利用成千上万从事网络辅助烟草干预的吸烟者的集体体验来增强进入系统的新吸烟者的个人相关裁缝。该NCI K07将提供指导的研究经验，使我有机会获得癌症健康传播方面的新能力，以改变行为改变，研究设计和统计方法，这是临床试验实施和评估的基础。我将调整亚马逊和Google等公司在外部医疗保健外使用的集体情报算法来增强CTHC。使用科学专家的知识，当前的CTHC收集基线患者“概况”，然后使用专家编写的基于规则的系统来为患者子集量身定制消息。这种基于理论的“市场细分已经有效地帮助患者达到生活方式目标。但是，基于规则的系统真正个性化内容并随着时间的推移适应个性化的能力是自然的限制。当前的CTHC已达到此限制，我的第一个目的是开发网络2.0“ S4S”推荐系统努力，我将由我的主要导师（医学博士MD）和另外两个导师团队进行指导：癌症健康行为与传播团队（Stephenie Lemon，PhD，PhD和Kathleen Mazor，EDD）和临床试验设计和分析团队（医学博士Jeroan Allison和Arlene Ash，博士学位）。