smarty4covid.

Konstantia Zarkogianni1,2, Edmund Dervakos3, George Filandrianos3

  • 1National Technical University of Athens, School of Electrical and Computer Engineering, Athens, 157 80, Greece. kzarkog@biosim.ntua.gr.

Scientific data
|November 6, 2023
PubMed
概括

本研究介绍了smarty4covid数据集,用于使用人工智能 (AI) 和m-health.com检测呼吸系统疾病. 一个新的框架为检测COVID-19风险的AI模型提供了反事实解释.

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