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Updated: Jul 11, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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

Published on: January 11, 2020

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在个人参与者数据中识别复发预测因子,使用决策树

Lucas Böttcher1,2, Josefien J F Breedvelt3,4, Fiona C Warren5

  • 1Frankfurt School of Finance and Management, Frankfurt am Main, Germany. l.boettcher@fs.de.

BMC psychiatry
|November 14, 2023
PubMed
概括

预测抑郁症复发是非常重要的. 使用年龄,发病年龄和抑郁症严重程度的机器学习模型,与单独使用抑郁症严重程度相比,改善了复发预测的准确性.

关键词:
决策树 决策树是一个决策树.抑郁症 抑郁症 抑郁症梯度增强可以提高梯度.个人参与者数据 个人参与者数据后勤回归的逻辑回归机器学习是机器学习.超分析 超分析 超分析 超分析复发复发的情况

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