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Updated: Jul 12, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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关于使用机器学习技术和非侵入性指标来对心脏疾病进行分类和预测.

Raydonal Ospina1,2, Adenice G O Ferreira2, Hélio M de Oliveira2

  • 1Department of Statistics, Universidade Federal da Bahia, Salvador 40110-909, Brazil.

Biomedicines
|October 28, 2023
PubMed
概括

新型的非侵入性Campello de Souza功能,仅使用张力计和时钟,显著改善了机器学习用于缺血性心脏病的分类. 这提高了诊断效率和准确性,减少了对广泛临床测试的依赖.

关键词:
生物指标生物指标心脏病 - 心脏病 - 心脏病 - 心脏病分类模型的分类模型.数据科学数据科学机器学习是机器学习.资源效率是指资源的使用效率.

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