Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.
预测因 COVID-19 导致精神和物质使用障碍的风险:将机器学习应用于医疗服务利用数据,以促进获得有效的治疗。
基本信息
- 批准号:432521
- 负责人:
- 金额:$ 14.56万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Operating Grants
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-07-01 至 2021-07-01
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
COVID-19 has caused unprecedented demand on health care systems worldwide. Early indications suggest that the pandemic will lead to a surge in mental health and substance use disorders. This study aims to examine these mental and substance use implication
COVID-19对全球医疗保健系统造成了前所未有的需求。早期迹象表明,这一流行病将导致心理健康和药物使用障碍激增。本研究旨在探讨这些心理和物质使用的影响
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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Vigo Daniel V其他文献
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{{ truncateString('Vigo Daniel V', 18)}}的其他基金
COVID-19 Variant Supplement - Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.
COVID-19 变体补充 - 预测因 COVID-19 导致精神和物质使用障碍的风险:将机器学习应用于健康服务利用数据,以促进获得有效的治疗。
- 批准号:
443211 - 财政年份:2021
- 资助金额:
$ 14.56万 - 项目类别:
Operating Grants
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