Application of machine learning techniques to disease surveillance to identify risk groups for blood borne viruses and sexually transmissible infections

将机器学习技术应用于疾病监测，以确定血源性病毒和性传播感染的危险人群

• 批准号: nhmrc : 2005418
• 金额: $ 7.64万
• 依托单位国家: 澳大利亚
• 项目类别: Postgraduate Scholarships
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/application-machine-learning-transmissible-infections/1780596
• 关键词: Application; machine; learning; techniques; disease

Electronic medical records from general practice are used to provide clinically detailed disease surveillance data to inform public health decisions. Risk factor information is not systematically recorded making it difficult to identify risk groups using these data. This PhD will improve surveillance by applying new data science methods to de-identified electronic medical records from general practice to better identify risk groups for blood borne viruses and sexually transmissible infections.

全科医疗的电子病历用于提供临床详细的疾病监测数据，为公共卫生决策提供信息。风险因素信息没有系统地记录，因此难以利用这些数据确定风险群体。该博士学位将通过应用新的数据科学方法来改善监测，以从一般实践中去除电子病历的身份，从而更好地识别血源性病毒和性传播感染的风险群体。