机译:一种新的基于分层邻域组件的学习和自适应多层网络驱动的心力衰竭风险的新技术
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
Department of General Surgery Sun Yat-sen Memorial Hospital Sun Yat-sen University 107 Yan Jiang West Road Guangzhou Guangdong 510120 China;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen 518055 China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China;
School of Engineering and Digital Arts University of Kent Canterbury CT2 7NT United Kingdom;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen 518055 China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
Department of Computer Science City University of Hong Kong Hong Kong;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
MARCS Institute for Brain Behaviour and Development Western Sydney University Australia;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
Department of General Surgery Sun Yat-sen Memorial Hospital Sun Yat-sen University 107 Yan Jiang West Road Guangzhou Guangdong 510120 China;
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen 518055 China;
Heart failure risk prediction; Internet of Medical Things (IoMT); Hierarchical neighborhood; component-based learning; Neural networks; Adaptive multi-layer networks;
机译:Marker-HF(风险和早期死亡率的机器学习评估失败):开发和验证一种新型模型标记-HF(机器学习评估风险和早期死亡率无失败):精确识别高风险的新型模型的开发和验证 心力衰竭患者精确识别高风险心力衰竭患者
机译:使用多变量自适应回归花键和随机林技术的水分配网络管道故障率预测
机译:心力衰竭:通过机器学习技术进行不良事件的诊断,严重性估计和预测
机译:基于非参数属性学习技术和多层网络的混合方法用于充血性心力衰竭风险预测
机译:阻塞性气道疾病和肺功能与突发性心力衰竭的关联,以及社区环境中心力衰竭的最佳预测:社区的动脉粥样硬化风险
机译:机器学习技术对心力衰竭患者住院预测的比较
机译:在使用新的扩张型心肌病的患者缓和EPOSTERS1385Longitudinal应变评估加速DENSE sequence1407Simultaneous T1和T2与CABIRIA心脏定量:在4维流动的加速算法初始临床experience1423Head对头比较CMR1502Left心室功能和尺寸由混合心脏正电子发射断层摄影术评价 - 磁性共振:由两个modalities1510Left庭派生左室射血分数和心室体积的个体间的比较,在1.5和3特斯拉评估心血管磁共振 - 免费的年龄和性别effects1514Comparison呼吸心脏MRI径向技术标准的多屏气电影SSFP CMR技术的LV卷和Function1536Self-导航自由呼吸各向同性3D整个心脏相位敏感反转恢复磁共振导航仪没有检测右Ventricu心肌infarction1547Assessment的评估拉尔菌株使用心肌变形恢复半自动技术:初步经验和正常Values1586Tissue跟踪心肌变形分析和预测左室重构急性心肌infarction1589Investigating策略优化31P MRS临床心脏在3T:初始Results1620Quantitative标准的先天缺失的诊断心包心脏磁Resonance1632Widespread组织损伤急性心肌梗死时:证据先进CMR relaxometry1322Computed CT冠状动脉成像与压力心脏磁共振对症的管理吻合血管患者:成本效益研究(战略研究)1339Comparison低与高剂量钆布醇在1.5特斯拉晚钆增强成像的临床可行性,在中间型地贫心脏并发症的预测study1347Multi参数心脏核磁共振的前瞻性德穆尔心血管磁共振的ticenter Study1461Prognostic价值衍生心肌纤维化指标在住院的急性期CMR的心脏移植recipients1523The作用:改变基于CMR-paradigms1542Preoperative比分预测缺血性心脏衰竭patients1555Excellent响应速度外科左心室重建心脏再同步化后心室反应治疗与磁共振imaging1626The ECG导引作为心脏磁共振成像致心律失常性基板的在ST段抬高心肌infarction1340Pathological在风险评估经历在3.0T CMR T1映射的室性早搏contractions1649Comparison和血管造影APPROACH分数区域消融患者的预测左束支传导疾病的患者与非缺血性心肌病相关因素:心血管磁共振study1342Myocardial重塑和纤维化nonischaemic扩张型心肌病:在从在由心血管磁性resonance1622Persistent心肌炎症评估肥厚型心肌病的纤维化和收缩功能障碍之间心血管磁性resonance1411The协会由于心肌内出血景点在再灌注STEMI为先导,以不利的LV重塑 - 从低的多参数mapping1566Semiquantitative分析和高的b值DWI的见解为在心脏MRI检测冠状动脉疾病急性myocarditis1567Value在结节性硬化症complex1578Papillary肌肉初诊收缩期Dysfunction1570Usefulness心脏磁共振检测心肌水肿提供进一步的深入了解肥大心脏:心血管磁共振study1627Diagnostic和CMR定时的临床意义(早期与晚)患者肌钙蛋白阳性的急性冠脉综合征和通畅的冠状动脉:表1。
机译:神经网络计算:多层感知器与分层模式识别网络的分类问题比较