Diastolic Pulmonary Gradient In Pulmonary Hypertension
2017年2月9日 · Diastolic pulmonary gradient (DPG) is a novel hemodynamic marker that is calculated as the difference between pulmonary artery diastolic pressure (PADP), and mean …
Clinical phenotypes and outcomes of pulmonary hypertension due …
Current ESC/ERS PH guidelines have proposed a haemodynamic definition that subdivides post-capillary PH based on the diastolic pressure gradient (DPG) and on pulmonary vascular …
Diastolic Pulmonary Vascular Pressure Gradient - CHEST
2012年7月2日 · DPG identifies patients with “out-of-proportion” PH who have significant pulmonary vascular disease and increased mortality. We propose a diagnostic algorithm, …
Diastolic pulmonary gradient predicts outcomes in group 1
Background: Diastolic pulmonary gradient (DPG), calculated as the difference between pulmonary artery diastolic pressure and mean pulmonary capillary wedge pressure ≥ 7 mmHg is …
Prognostic value and diagnostic properties of the diastolic …
2019年9月1日 · The use of the diastolic pressure gradient (DPG) for the diagnosis of combined post- and pre-capillary pulmonary hypertension (Cpc-PH) versus isolated post-capillary …
Prognostic value and diagnostic properties of the diastolic …
2019年9月1日 · Using DPG/PVR criteria to differentiate between Ipc-PH and Cpc-PH is equivalent to using TPG/PVR criteria with a TPG threshold >15 mmHg. However, the use of DPG for …
Diastolic pulmonary vascular pressure gradient: a predictor of ...
DPG identifies patients with “out-of-proportion” PH who have significant pulmonary vascular disease and increased mortality. We propose a diagnostic algorithm, using pulmonary capillary …
[强化学习-07]--DPG、DDPG - 知乎
采用莫烦的一句话来概括DDPG：Google deepmind提出的一种使用 actor-critic结构，但是输出的不是行为发概率，而是具体的行为，用于连续动作（continuous action）的预测，DDPG结合 …
Optimizing diastolic pressure gradient assessment - PMC
2020年5月11日 · In pulmonary hypertension due to left heart disease (PH-LHD), the diastolic pressure gradient (DPG), i.e. the difference between the pulmonary artery diastolic pressure …
深度强化学习主流算法介绍（二）：DPG系列 - CSDN博客
2022年1月23日 · 策略梯度算法是一种更为直接的方法，它让 神经网络 直接输出策略 函数 π (s)，即在状态s下应该执行何种动作。 对于非确定性策略，输出的是这种状态下执行各种动作 …