结果表明，神经网络模型能较好地拟合这些数据，总ppv为0.798。另一

结果表明，神经网络模型能较好地拟合这些数据，总ppv为0.798。另一方面，支持向量机算法对数据的拟合具有较小的映射误差和误差。hosmer-lemeshow拟合优度检验值越大，说明支持向量机模型在数据上的优越性，为cad诊断提供了更好的预测。此外，支持向量机算法预测冠心病患者的ppv和灵敏度均高于人工神经网络模型。类似地，先前研究的结果表明，使用支持向量机算法可以预测疾病，并以更高的准确性将患者与非患者区分开来

0/5000

源语言: -

目标语言: -

结果 (英语) 1: [复制]

复制成功！

The results show that the neural network model can fit the data, the total ppv 0.798. On the other hand, support vector machine algorithm has less error and its mapping to fit the data. hosmer-lemeshow goodness fit the larger value, indicating the superiority of support vector machine in the data model provides a better prediction for the diagnosis cad. In addition, support vector machine algorithm to predict coronary heart disease in patients with ppv and sensitivity are higher than the artificial neural network model. Similarly, the previous results of the study indicate that the use of support vector machine algorithm can predict disease and with higher accuracy to distinguish patients with non-patient area

正在翻译中..

结果 (英语) 2:[复制]

复制成功！

The results show that the neural network model can fit these data well, with a total ppv of 0.798. On the other hand, the vector machine algorithm is supported to have a small mapping error and error to the fit of the data. The higher the hosmer-lemeshow fit quality test value, which indicates the advantages of supporting vector machine model in data, and provides better prediction for cad diagnostics. In addition, the support vector algorithm predicts the ppv and sensitivity of patients with coronary heart disease are higher than the artificial neural network model. Similarly, previous studies have shown that disease can be predicted using a support vector algorithm and distinguish patients from non-patients with greater accuracy

正在翻译中..

结果 (英语) 3:[复制]

复制成功！

The results show that the neural network model can fit these data well, and the total PPV is 0.798. On the other hand, support vector machine algorithm has smaller mapping error and error for data fitting. The larger the goodness of fit test value of Hosmer lemeshow is, the better the SVM model is in data, which provides a better prediction for CAD diagnosis. In addition, the PPV and sensitivity of SVM are higher than that of ANN. Similarly, previous studies have shown that SVM can predict disease and distinguish patients from non patients with higher accuracy<br>

正在翻译中..

其它语言

本翻译工具支持: 世界语, 丹麦语, 乌克兰语, 乌兹别克语, 乌尔都语, 亚美尼亚语, 伊博语, 俄语, 保加利亚语, 信德语, 修纳语, 僧伽罗语, 克林贡语, 克罗地亚语, 冰岛语, 加利西亚语, 加泰罗尼亚语, 匈牙利语, 南非祖鲁语, 南非科萨语, 卡纳达语, 卢旺达语, 卢森堡语, 印地语, 印尼巽他语, 印尼爪哇语, 印尼语, 古吉拉特语, 吉尔吉斯语, 哈萨克语, 土库曼语, 土耳其语, 塔吉克语, 塞尔维亚语, 塞索托语, 夏威夷语, 奥利亚语, 威尔士语, 孟加拉语, 宿务语, 尼泊尔语, 巴斯克语, 布尔语(南非荷兰语), 希伯来语, 希腊语, 库尔德语, 弗里西语, 德语, 意大利语, 意第绪语, 拉丁语, 拉脱维亚语, 挪威语, 捷克语, 斯洛伐克语, 斯洛文尼亚语, 斯瓦希里语, 旁遮普语, 日语, 普什图语, 格鲁吉亚语, 毛利语, 法语, 波兰语, 波斯尼亚语, 波斯语, 泰卢固语, 泰米尔语, 泰语, 海地克里奥尔语, 爱尔兰语, 爱沙尼亚语, 瑞典语, 白俄罗斯语, 科西嘉语, 立陶宛语, 简体中文, 索马里语, 繁体中文, 约鲁巴语, 维吾尔语, 缅甸语, 罗马尼亚语, 老挝语, 自动识别, 芬兰语, 苏格兰盖尔语, 苗语, 英语, 荷兰语, 菲律宾语, 萨摩亚语, 葡萄牙语, 蒙古语, 西班牙语, 豪萨语, 越南语, 阿塞拜疆语, 阿姆哈拉语, 阿尔巴尼亚语, 阿拉伯语, 鞑靼语, 韩语, 马其顿语, 马尔加什语, 马拉地语, 马拉雅拉姆语, 马来语, 马耳他语, 高棉语, 齐切瓦语, 等语言的翻译.