相关实验视频

Updated: May 20, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.1K

用基于深度学习的合成房子-树-人测试来检测临床抑郁症的有效性评估

Zhuolong Chen, Xiaoqing Yin, Fan Yang

    IEEE journal of biomedical and health informatics
    |March 24, 2025
    PubMed
    概括

    一个新的深度学习模型DeHTP分析了合成房子-树人测试 (S-HTP) 的图纸来检测抑郁症. 这种人工智能工具提供了准确,客观的心理健康评估,改进了传统的主观方法.

    更多相关视频

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    2.5K
    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

    Published on: January 11, 2020

    7.4K

    相关概念视频

    Survival Tree01:19

    Survival Tree

    Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
     Building a Survival Tree
    Constructing a...
    48