JPRN-UMIN000047199招募中未知
Data collection and development of machine learning models for estimating cognitive function using acoustical feature - Data collection and development of machine learning models for estimating cognitive function using acoustical feature
适应症
试验速览
- 阶段
- 未知
- 状态
- 招募中
- 入组人数
- 300
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
- 65years-old 至 ot applicable（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Those who score 20 or below on the Hasegawa dementia scale revised and are judged by a notary public to have no capacity to make a will.
研究者
相似试验
招募中
不适用
Software development Integrating wearable technologies for future depression treatmentAs described in the inclusion criteriadepressive disorders, bipolar and related disorders, anxiety disorders, obsessive-compulsive and related disorders, trauma- and stressor-related disorders, dissociative disorders, somatic symptom and related disordersD003866, D000068105, D001008, D009771, D000068099, D004213, D000071896JPRN-jRCT1031210478Kikuchi Toshiaki360
已完成
不适用
Deep learning prognostic model for pancreatic cancerNeoplasmsKCT0007154Asan Medical Center2,584
尚未招募
2 期
Computer enabled autofluorescence device for the diagnosis of breast lumps and determining completeness of surgical removal of breast tumoursCTRI/2024/02/062338Indian Council of Medical Research
尚未招募
Unknown
Developing predictive models using machine learning techniques to assess the risk factors influencing post operative Peak expiratory flow rate following upper abdominal surgery.CTRI/2024/06/068341Dr Lairenjam Deepa Devi
已完成
不适用
Development of deep learning-based AI system using ultrasound imagesDiseases of the nervous systemKCT0007482Chungnam National University Hospital900