"Application of Artificial Intelligence in Evaluation of Radon Health Risk in Urban vs Rural houses of Canada and Sweden." This interdisciplinary research will apply predictive machine learning algorithms and geospatial intelligence to assess, predict and

“人工智能在加拿大和瑞典城市与农村房屋氡气健康风险评估中的应用。”

• 批准号: 446278
• 负责人: Khan Selim M
• 金额: $ 3.28万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Fellowship Programs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-12-01 至 2022-12-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=446278&lang=en
• 关键词: Analyze And Compare Evidence Between Canada And Sweden; Assess, Predict And Map Out The Causative Patterns; Collect Building Metrics, Environment, Human Behaviour Data; Develop A New Housing Design To Ensure Indoor Air Quality; Engage 'Citizen Scientists'

Indoor air quality is one of the prime determinants of health in cold countries, as people spent most of their time indoors. In Canada, indoor air is frequently polluted by high levels of radioactive radon gas emanating from uranium rich bedrocks and accu

室内空气质量是寒冷国家健康的主要决定因素之一，因为人们大部分时间都在室内度过。在加拿大，室内空气经常受到高放射性氡气的污染，这些氡气是从富含铀的岩石和火山岩中散发出来的。