NCT04825301Unknown不适用
Application of Machine Learning Based Approaches in Emergency Department to Support Clinical Decision Managing SARS-CoV-2 Infected Patients
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 779
- 试验地点
- 1
- 主要终点
- COVID-19 clinical course
研究概览
简要总结
The aim of the study is to develop a prognostic prediction model based on machine learning algorithms in patients affected by coronavirus disease 2019 (COVID-19), the prediction model will be capable to recognize patient with favorable prognosis or patient with poor prognosis by intelligent systems data analysis.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •patients aged over 18 positive for COVID-19 by polymerase chain reaction assay for rhino-pharyngeal swab
排除标准
- •Under 18 aged
结局指标
主要结局
COVID-19 clinical course
时间窗: 2 months
Data about sex, age, symptoms start date, symptoms, comorbidity, vital parameters, hematochemical blood tests, therapy, oxygen support, radiology, clinical disease progression will be collected. The collected data will be analyzed through a machine learning based approach to predict the prognosis of patients affected by COVID-19.
次要结局
- Application of machine learning algorithms on data of patients affected by COVID-19(2 months)
研究者
Clara Balsano
Full Professor
University of L'Aquila
研究点 (1)
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