KCT0009183尚未招募Unknown
A Research Study on Constructing Digital Representational Data for the Identification of High-Risk Groups for Anxiety and Depression using AI Training
适应症
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
- 入组人数
- 2,500
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
- 19(Year) 至 59(Year)(—)
- 性别
- All
入选标准
- •Adults aged 19 to 59 years old
- •- Individuals who use smartphones
排除标准
- •- Individuals with evidence of intellectual disabilities or organic brain damage
- •- Those with a history of diagnosed psychotic spectrum disorders
- •- Individuals with sleep disorders such as hypersomnia, respiratory-related sleep disorders, or parasomnias
- •- Those who find it difficult to wear wrist-worn wearable devices continuously
研究者
相似试验
招募中
2 期
Early detection Of post-operative infection after abdominal surgeryCTRI/2023/09/058027Madras Medical College
已完成
2 期
An academic study of early warning system to detect infection in a surgical woundCTRI/2021/08/035895Crely Healthcare Pvt Limited16
已完成
不适用
Testing Medical Device (Sensor) to detect and predict surgical site infectionsCTRI/2022/01/039722Crely Healthcare Pvt Ltd205
尚未招募
不适用
Testing Medical Device (Sensor) to detect and predict surgical site infectionsCTRI/2022/01/039350Crely Healthcare Pvt Ltd
终止
不适用
Development and Evaluation of A Digital Version of the REsilience Activities for every DaY (READY) Program for Adults with Multiple SclerosisNeurological - Multiple sclerosisMultiple SclerosisACTRN12621000602820niversity of Queensland56
