摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中提供。据新闻报道News Rx记者从德克萨斯州休斯顿报道，研究称：“我们开发了一种机器学习。”用心电图(ECG)预测心肌血流储备(MFR)和asss的(ML)模型其对主要心血管不良事件的预后价值(MACEs)。3639电子正电子发射层析成像(PET)和17649 ECG-单光子发射离子计算机断层成像(SPECT)数据对，ML模型是用群体智能方法和支持向量回归(SVR)训练的。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Houston, Texas, by News Rx journalists, research stated, “We develop a machine learning(ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and as sessits prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emissiontomography (PET) and 17,649 ECG-single-photon emiss ion computed tomography (SPECT) data pairs,the ML model is trained with a swarm intelligence approach and support vector regression (SVR).”
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