人工智能预测心力衰竭

Rashid Ebrahim Al-Mannai, Mohammed Hamad Almerekhi, Mohammed Abdulla Al-Mannai, Mishahira N, K. K. Sadasivuni, H. Yalcin, H. Ouakad, I. Bahadur, S. Al-Maadeed, Asiya Albusaidi
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引用次数: 0

摘要

心力衰竭是一种日益增加的主要慢性疾病,是全世界卫生保健系统的一个重大健康负担。机器学习(ML)、深度学习(DL)、认知计算机等人工智能(AI)技术可以在心衰检测的早期发现和诊断,以及结局预测和预后评估中发挥关键作用。来自不同来源的大型数据集的可用性可以用来构建机器学习模型,通过提供早期预警和关于患者潜在状况的深刻信息,可以增强临床医生的能力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence in Predicting Heart Failure
Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), and cognitive computer can play a critical role in the early detection and diagnosis of Heart Failure Detection, as well as outcome prediction and prognosis evaluation. The availability of large datasets from difference sources can be leveraged to build machine learning models that can empower clinicians by providing early warnings and insightful information on the underlying conditions of the patients
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