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Updated: Jun 29, 2025

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混合疾病预测方法利用数字双胞胎和元宇宙技术为健康消费者提供医疗服务

Chaitanya Kulkarni1, Aadam Quraishi2, Mohan Raparthi3

  • 1Department of Computer Engineering, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Pune, 413133, Maharashtra, India.

BMC medical informatics and decision making
|April 4, 2024
PubMed
概括

一个新的DenoisingAutoEncoder-Broad Learning System (DAE-BLS) 模型通过改进从复杂的医疗数据中提取特征来提高疾病预测. 这种混合方法实现了高精度和快速适应敏捷的医疗保健应用程序.

关键词:
生物信息学是一种生物信息学.深度神经网络是一种深度神经网络.数字双胞胎 数字双胞胎 数字双胞胎疾病预测 疾病预测医疗保健 医疗保健 医疗保健 医疗保健

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