THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE I WORK IS TO FURTHER DEVELOP A PROOF-OF-CONCEPT (POC) MACHINE LEARNING APPROACH TO DETECT ILLEGAL OPIOID SELLERS AND DEVELOP IT INTO AN MVP THAT CAN COLLEC

拟议第一阶段工作的主要目标是进一步开发概念验证 (POC) 机器学习方法来检测非法阿片类药物销售商并将其开发为可收集信息的 MVP

• 批准号: 10044305
• 负责人: KEN MACKEY
• 金额: $ 22.49万
• 依托单位: S-3 RESEARCH, LLC
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10044305
• 关键词: Data; Data Reporting; Effectiveness; Internet; Machine Learning; National Institute of Drug Abuse; Opioid; Pharmaceutical Preparations; Pharmacy facility; Phase; Prevention; Services; United States National Institutes of Health; Work; data visualization; opioid overdose; opioid use; overdose prevention; research and development; social media

NIH through NIDA solicits the research and development of data-driven solutions and services that focus on issues related to opioid use prevention, opioid use, opioid overdose prevention or OUD treatment (PHS 2019-1, NIH/NIDA Topic 166)

NIH通过NIDA寻求研究和开发数据驱动的解决方案和服务， 与阿片类药物使用预防、阿片类药物使用、阿片类药物过量预防或OUD治疗（PHS）相关 2019-1，NIH/NIDA主题166）