JPRN-UMIN000049505招募中1 期
Development of Depressive Symptom Assessment Techniques Using Multimodal AI Video Analysis of Web Interviews - Development of Depressive Symptom Assessment Techniques Using Multimodal AI Video Analysis of Web Interviews
I'm beside you Inc.0 个研究点目标入组 100 人开始时间: 2022年11月18日最近更新:
试验速览
- 阶段
- 1 期
- 状态
- 招募中
- 发起方
- 入组人数
- 100
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
- 20years-old 至 70years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •1. those whose condition is likely to be impaired by participation in this study 2. who are deemed inappropriate by the principal investigator or co-investigator
研究者
相似试验
已完成
不适用
Development of depression assessment tool utilizing simple electroencephalographdepressionJPRN-UMIN000027917Keio University School of Medicine40
已完成
不适用
Development of a depression diagnosis questionnaire in general practices - A feasibility studyF32F33Depressive episodeRecurrent depressive disorderDRKS00028950Institut für Allgemeinmedizin und Versorgungsforschung der TUM286
招募中
不适用
Evaluation of depressive symptom using effort discountingMajor depressive disorderJPRN-UMIN000035479The Jikei University School of Medicine70
尚未招募
不适用
Assessment of depressive disorders based on neuroinflammatory mechanisms using quantitative index of thermal pain perceptioDepressive disorders Other psychiatric disordersJPRN-UMIN000045649Shiga University of Medical Science150
已完成
不适用
Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, and voice data during clinical interview and daily activity utilizing wearable device1. Patients with depressive disorder or bipolar disorder 2. Patients with dementia, mild cognitive impairment, or subjective cognitive impairment 3. Healthy volunteersJPRN-UMIN000023764Keio University School of Medicine500