KCT0008493尚未招募Unknown
Research for Development of Artificial Intelligence-enhanced Electrocardiogram of Prediction for Mortality and Cardiovascular Outcomes using combination system of the National Health Insurance Service Database
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
- 入组人数
- 300,000
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18(Year) 至 100(Year)(—)
- 性别
- All
入选标准
- •All patients prescribed in the hospital with a medical code S2025: Electrocardiography between January 2006 and December 2021
排除标准
- •The above study is a data collection study using an electrocardiogram, and there are no exclusion criteria other than patients who are inappropriate as subjects by the judgment of the researcher
研究者
相似试验
招募中
不适用
Research on artificial intelligence development for classification of oral histopathologyOral squamous cell carcinomaJPRN-jRCT1060220025Sukegawa Shintaro6
招募中
不适用
Research on development of artificial intelligence (AI) for detection and classification of upper gastrointestinal cancers in endoscopic imagesupper gastrointestinal cancersJPRN-UMIN000039597agoya University200
尚未招募
Unknown
An electrocardiogram study using artificial intelligence in the identification of arrhythmia resection siteDiseases of the circulatory systemKCT0009317Inha University Hospital1,500
尚未招募
不适用
A study to develop a software for predicting the outcomes of febrile neutropenia (FN) in adolescent and adults with blood cancersCTRI/2021/11/037855Tata Memorial Hospital Research Administrative Council
招募中
不适用
Development of Artificial Intelligence (AI) to accelerate Drug Target discoveryInterstitial Lung Disease including IPF (Idiopathic Pulmonary Fibrosis) Lung CancerJPRN-UMIN000041135ational Institutes of Biomedical Innovation, Health and Nutrition3,700
