NCT04493736招募中不适用
CAMPUS Expanded "Classification and Assessment of Mental Health Performance Using Semantics Expanded"
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- Detection of Mental Health State
研究概览
简要总结
Open enrollment study to collect data for the optimization of machine learning models for use in an app for the early detection of mental health and suicidal risk.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 8 Years 至 75 Years（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Currently a client receiving services from a MHP at a school or outpatient setting, or at a college/university counseling center
- •Age ≥ 8 years old
- •Able to provide informed consent, parental permission or assent
- •English as a primary language
排除标准
- •Participants with communication disorders (linguistic or articulation)
- •Any minor participants for whom parental or legal guardian consent cannot be obtained.
- •Any adult participant for whom Legal Authorized Representative (LAR) consent cannot be obtained.
- •History of any other serious medical or psychiatric condition that would interfere with the ability of the patient to complete the study or would make it ethically unfeasible to enroll them
- •Participants with an intellectual and / or neurocognitive disability that the MHP deems a barrier to participation
- •Any participant, who at the discretion of the MHP, should not be enrolled
结局指标
主要结局
Detection of Mental Health State
时间窗: 1 year
Optimize machine learning models will detect the presence of a mental state as evidenced by scores on standardized tests and clinical assessment.
次要结局
- Demonstrate the Usability of the platform(1 year)
研究者
研究点 (1)
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