CTRI/2025/11/098009尚未招募不适用
Deep Learning Predictive Model for Cognitive and Functional Status among Middle-aged and Elderly Population
未提供1 个研究点 分布在 1 个国家目标入组 346 人开始时间: 2025年12月10日最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 346
- 试验地点
- 1
研究概览
简要总结
This observational cross-sectional study aims to assess cognitive and functional status in adults aged 44–75 years using standardized assessment tools. The study will also develop a deep learning model to predict cognitive performance based on demographic and clinical variables. Findings may support early identification of individuals at risk of cognitive decline and guide future screening approaches.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 44.00 Year(s) 至 75.00 Year(s)（—）
- 性别
- All
入选标准
- •Participants aged 44–75 years (middle-aged 44–60; elderly 60–75) who are medically stable, able to provide informed consent, and capable of face-to-face assessments with sufficient cognitive awareness to understand the evaluation tools will be included.
排除标准
- •Have a diagnosed neurodegenerative condition (e.g., Alzheimer’s disease, Parkinson’s disease) Suffer from severe psychiatric disorders or intellectual disabilities Have hearing, vision, or communication impairments that may interfere with assessment Are currently hospitalized or undergoing acute medical treatment Are unwilling or unable to comply with the study protocol.
研究者
Pooja Dogra
Chitkara University, Rajpura
研究点 (1)
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