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:8718785
- 负责人:
- 金额:$ 14.08万
- 依托单位:
- 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:
- 关键词:AddressAlgorithmsAreaAttitudeBehaviorBehavioralCancer EtiologyCarbon MonoxideCessation of lifeCharacteristicsClinical TrialsClinical Trials DesignCodeCommunitiesComplexComputational algorithmComputersDataDatabasesDevelopmentDoctor of PhilosophyElectronic MailEngineeringEvaluationFeedbackFundingGoalsHealthHealth CommunicationHealth behaviorHealthcareIntelligenceInternetInterventionKnowledgeLearningLife StyleLinkMachine LearningMalignant NeoplasmsMarketingMeasuresMentorsMetadataModelingOutpatientsPatientsPlant RootsPopulation HeterogeneityRandomizedReceiver Operator CharacteristicsResearchResearch DesignResearch PriorityRoleSmokerSmokingSmoking BehaviorStatistical MethodsStructureSystemTestingTimeTobaccoTobacco Use CessationTrainingUnited States National Institutes of HealthVisitWithholding TreatmentWorkWritingbasebehavior changecommunication behaviorconsumer demanddemographicsevidence baseexperienceimprovedinsightnext generationnovelnovel strategiespatient orientedprogramsresearch studyskillssmoking cessationsymposiumtheoriesweb servicesweb 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头号可预防原因。需要新的方法来使世纪的吸烟者参与戒烟。我建议开发S4S(吸烟者吸烟者),下一代以患者为中心的计算机定制健康通信(CTHC)系统。与目前基于规则的CTHC不同,S4S将用复杂的机器学习算法取代规则,并利用数千名参与网络辅助烟草干预的吸烟者的集体经验,为进入系统的新吸烟者提供个人相关的定制服务。这个NCI K07将提供一个指导的研究经验,让我有机会获得癌症健康沟通的行为改变,研究设计和统计方法的基础临床试验实施和评估的新能力。我将调整亚马逊和谷歌等公司在医疗保健领域以外使用的集体智能算法,以增强CTHC。利用来自科学专家的知识,目前的CTHC收集基线患者“档案”,然后使用专家编写的基于规则的系统来定制针对患者子集的消息。这种基于理论的“市场细分”有效地帮助患者实现生活方式目标。然而,基于规则的系统在真正个性化内容以及随着时间的推移适应个性化的能力方面存在自然的限制。目前的CTHC已经达到了这个极限,我建议超越。我的第一个目标是开发Web 2.0“S4S”推荐系统。我的第二个目标是在NCI资助的网络辅助烟草干预(Decide2Quit.org)的背景下评估S4S。在我的努力中,我将由我的主要导师(休斯顿博士,医学博士MPH)和另外两个导师团队指导:癌症健康行为和沟通团队(Stephenie Lemon,博士和Kathleen Mazor,EdD),以及临床试验设计和分析团队(Jeroan Allison,医学博士,MS和Arlene Ash,博士)。我的全面培训还包括课程作业,研讨会和会议。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Rajani Sadasivam其他文献
Rajani Sadasivam的其他文献
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{{ truncateString('Rajani Sadasivam', 18)}}的其他基金
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
Adapt2Quit — 机器学习、自适应激励系统:针对社会经济弱势吸烟者的随机对照试验 —
- 批准号:
10381513 - 财政年份:2020
- 资助金额:
$ 14.08万 - 项目类别:
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
Adapt2Quit — 机器学习、自适应激励系统:针对社会经济弱势吸烟者的随机对照试验 —
- 批准号:
10642697 - 财政年份:2020
- 资助金额:
$ 14.08万 - 项目类别:
mHealth Messaging to Motivate Quitline Use and Quitting (M2Q2): RCT in rural Vietnam
促进戒烟热线使用和戒烟的移动医疗信息传递 (M2Q2):越南农村地区的随机对照试验
- 批准号:
9899336 - 财政年份:2017
- 资助金额:
$ 14.08万 - 项目类别:
Take a Break: mHealth-assisted skills building challenge for unmotivated smokers
休息一下:移动健康辅助的针对无动力吸烟者的技能培养挑战
- 批准号:
9761283 - 财政年份:2015
- 资助金额:
$ 14.08万 - 项目类别:
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
- 批准号:
8899464 - 财政年份:2013
- 资助金额:
$ 14.08万 - 项目类别:
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
- 批准号:
8581564 - 财政年份:2013
- 资助金额:
$ 14.08万 - 项目类别:
Share2Quit: Web-based Peer-driven Referrals for Smoking Cessation
Share2Quit:基于网络的同伴驱动的戒烟推荐
- 批准号:
8243411 - 财政年份:2012
- 资助金额:
$ 14.08万 - 项目类别:
Share2Quit: Web-based Peer-driven Referrals for Smoking Cessation
Share2Quit:基于网络的同伴驱动的戒烟推荐
- 批准号:
8434143 - 财政年份:2012
- 资助金额:
$ 14.08万 - 项目类别:
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