在基于可解释的人工智能的II型糖尿病患者中检测糖尿病视网膜病变的可行性研究

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B Lalithadevi1, S Krishnaveni2, J Samuel Cornelius Gnanadurai3

  • 1Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai, TN, India. lb8267@srmist.edu.in.

Journal of medical systems
|August 8, 2023
PubMed
概括

在II型糖尿病患者中,糖尿病视网膜病变 (DR) 的早期预测至关重要. 一个随机森林模型准确地确定了年龄和血糖等风险因素,在这项可行性研究中达到94.9%的准确性.

关键词:
糖尿病是一种糖尿病.糖尿病视网膜病变 - 糖尿病视网膜病变可解释的人工智能基金的摄像头 Fundus摄像头机器学习 机器学习风险因素 风险因素查检查 查检查 查检查统计分析 统计分析

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