Medication use in community-dwelling older adults with dementia in Ontario: Applying machine learning techniques to better describe potentially inappropriate prescribing and psychotropic polypharmacy, while integrating patient and care partner perspective

安大略省社区居住的痴呆症老年人的药物使用：应用机器学习技术更好地描述潜在的不当处方和精神药物复方用药，同时整合患者和护理伙伴的观点

• 批准号: 460393
• 负责人: Emdin Abby L
• 金额: --
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-01-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=460393&lang=en
• 关键词: Community-Dwelling Older Adults; Dementia; Machine Learning; Network Analysis; Patient Engagement In Research; Pharmacoepidemiology; Polypharmacy; Potentially Inappropriate Prescribing; Psychotropic Prescribing

My thesis applies emerging machine learning methods to identify common prescribing patterns over time to better describe potentially inappropriate prescribing and psychotropic medication exposures in older adults with dementia. Older adults newly diagnose

我的论文应用新兴的机器学习方法来识别随时间变化的常见处方模式，以更好地描述患有痴呆症的老年人中潜在的不当处方和精神药物暴露。老年人新诊断