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標題: Titlebook: Improved FMEA Methods for Proactive Healthcare Risk Analysis; Hu-Chen Liu Book 2019 Springer Nature Singapore Pte Ltd. 2019 FMEA.Failure M [打印本頁]

作者: 重要    時間: 2025-3-21 18:52
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書目名稱Improved FMEA Methods for Proactive Healthcare Risk Analysis讀者反饋學科排名





作者: 易達到    時間: 2025-3-21 22:54

作者: 盤旋    時間: 2025-3-22 02:30
Hu-Chen Liuon in real-time collaboration, a dependency-based automatic locking (DAL) approach was proposed in prior work. The DAL mechanism automatically detects programming elements with dependency relationships, and prohibits concurrent editing on the inter-dependent source code regions by locking. However,
作者: 全部逛商店    時間: 2025-3-22 07:20

作者: CRUE    時間: 2025-3-22 09:14
laboration. In a decentralized environment, it can be achieved through blockchain technology. However, traditional blockchain platforms such as Ethereum are based on Proof of Work (PoW), which requires huge amounts of computation and is not suitable for robots with limited computing resources. And t
作者: condone    時間: 2025-3-22 16:43

作者: 無政府主義者    時間: 2025-3-22 18:49
Hu-Chen Liud collaborate in a closely-coupled fashion. There exists a number of problems and limitations for this emerging approach to be applied in real-world scenarios, and two critical issues are the lack of support on cross-platform collaboration and multi-level consistency maintenance. In this study, we h
作者: Delude    時間: 2025-3-22 23:55

作者: Finasteride    時間: 2025-3-23 04:59
Hu-Chen Liuefore, it is necessary to provide a high-quality mobile application recommendation mechanism to meet the user’s expectation. Although the existing methods make significant results on mobile application recommendation, the recommendation accuracy can be further improved. More exactly, they mainly foc
作者: laparoscopy    時間: 2025-3-23 08:50

作者: 暗語    時間: 2025-3-23 11:38

作者: Obverse    時間: 2025-3-23 15:13
duce bandwidth consumption. While machine learning (ML) models can run on smaller computing devices at the edge, training ML models presents challenges for low-capacity devices. This paper aimed to evaluate the performance of Federated Learning (FL) - a distributed ML framework, when training a medi
作者: 中世紀    時間: 2025-3-23 20:12
Hu-Chen Liued client data sets to jointly construct a global model under the coordination of a central server. However, in practical applications, there is a high degree of data distribution skewness among clients, which causes the optimization direction of the client models to diverge, resulting in model bias
作者: 多骨    時間: 2025-3-23 23:47

作者: VEN    時間: 2025-3-24 02:51
Hu-Chen Liung of shared learning models while ensuring data privacy. However, existing FL still face numerous challenges in IoV. Firstly, the fast convergence with FL models is difficult to achieve due to the high mobility of vehicles and the non-independent identical distribution (Non-IID) among data collecte
作者: 迅速成長    時間: 2025-3-24 07:34

作者: FLAG    時間: 2025-3-24 12:18
Hu-Chen Liu large difference in the volume of stroke lesion areas and the great similarity between lesion areas and normal tissues, most of the existing methods for lesion segmentation cannot deal with these problems well. This paper proposes a novel network named MD-TransUNet for the segmentation of stroke le
作者: 表兩個    時間: 2025-3-24 18:27
Hu-Chen Liu naturally represented as graphs, Graph Neural Networks (GNNs) have proven highly effective for learning graph representations of source code. Pooling, as an essential operation for GNN-based models, is limited in its ability to leverage the rich hierarchical information presented in tree-like graph
作者: Adjourn    時間: 2025-3-24 22:42

作者: 我怕被刺穿    時間: 2025-3-25 00:16
FMEA Using ITHWD Measure and Its Application to Blood Transfusione the performance of the traditional FMEA method. The new model can not only handle the uncertainty and diversity of FMEA team members’ risk assessments but also consider the subjective and objective weights of risk factors in the risk ranking process. Moreover, it has exact characteristic and can a
作者: 財政    時間: 2025-3-25 04:58

作者: 不妥協(xié)    時間: 2025-3-25 08:40
FMEA Using IVIFSs and MABAC Method and Its Application to Radiation Therapyic fuzzy sets (IVIFSs) and the multi-attributive border approximation area comparison (MABAC) method. Moreover, a linear programming model is developed to obtain the optimal weights of risk factors when the weight information is incompletely known a priori. Finally, a practical example in a radiatio
作者: 為現場    時間: 2025-3-25 13:04
FMEA Using Combination Weighting and Fuzzy VIKOR and Its Application to General Anesthesia method for FMEA based on combination weighting and fuzzy VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) methods. First, fuzzy analytic hierarchy process (AHP) is integrated with entropy method to determine the relative weights of risk factors. The risk priorities of failure modes are
作者: venous-leak    時間: 2025-3-25 18:39

作者: SOBER    時間: 2025-3-25 23:28
FMEA Using Cloud Model and PROMETHEE Method and Its Application to Emergency Departmente determination of priority ranking of failure modes. Specifically, a framework integrating cloud model, a new cognitive model for coping with fuzziness and randomness, and preference ranking organization method for enrichment evaluation (PROMETHEE) method, a powerful and flexible outranking decisio
作者: 絕緣    時間: 2025-3-26 01:50

作者: 粗糙    時間: 2025-3-26 06:51

作者: 周年紀念日    時間: 2025-3-26 10:20

作者: legacy    時間: 2025-3-26 15:05

作者: aspersion    時間: 2025-3-26 19:25
rganization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students..978-981-13-6368-9978-981-13-6366-5
作者: 愛社交    時間: 2025-3-27 00:58

作者: Adenoma    時間: 2025-3-27 02:55
ctive resource allocation strategy, a revenue maximization online auction (RMOA) algorithm is designed. Theoretical analysis shows that the RMOA algorithm can achieve optimal system revenue approximately while ensuring the stability of the MEC system. In addition, simulation results indicate the eff
作者: CYN    時間: 2025-3-27 06:46

作者: 敲詐    時間: 2025-3-27 13:21

作者: 巫婆    時間: 2025-3-27 13:41
h to adapt it to the mobile network environment with a limited communication range for each robot and dynamic network topology in the swarm. With a set of motivated scenarios of collective decision making, we verified the effectiveness of our approach and the results show that our approach helps rob
作者: heckle    時間: 2025-3-27 20:29

作者: 細胞學    時間: 2025-3-27 23:32
Hu-Chen Liusign objectives and rationales, workflow and functional design, CP-ROOF’s architecture and components, and major technical issues and solutions. Preliminary user evaluations and performance experiments have demonstrated the feasibility of the framework and the satisfactory performance of the prototy
作者: 使顯得不重要    時間: 2025-3-28 05:16
Hu-Chen Liu, the intermittent chaos theory and variable step method are leveraged to improve the existing dual-coupled Duffing oscillator method. The simulation results show that the proposed method can sense weak signals in the background of strong Lévy noise and estimate its frequency, with an estimation err
作者: Lime石灰    時間: 2025-3-28 10:07
Hu-Chen Liuion Network) mechanism to dynamically learn the importance of mobile applications’ features and uses a bilinear function with combining inner product and Hadamard product to effectively learn these features interactions, respectively. Then, the user preferences for different mobile applications are
作者: ensemble    時間: 2025-3-28 11:43

作者: Hemoptysis    時間: 2025-3-28 15:36
Hu-Chen Liuy, it optimizes the network iteratively through switching nodes until the score of network no longer increases. The experimental results show that . can learn a network structure with higher accuracy than other .-tree algorithms in a given limited time..Availability and implementation: codes and exp
作者: Mri485    時間: 2025-3-28 20:33

作者: 食料    時間: 2025-3-29 01:26
Hu-Chen Liued on encoding contrast and classification correction. This algorithm divides the model into an encoder and a classifier. It utilizes prototype contrastive training of the model encoder and unbiased classification correction of the classifier. This approach notably improves the accuracy of the globa
作者: fallible    時間: 2025-3-29 05:40

作者: Confidential    時間: 2025-3-29 08:40
Hu-Chen Liuand model weight similarities of vehicles. Clustering of vehicles can alleviate the impact of Non-IID data, and the joint training of data vehicles can reduce resource consumption and mitigate the straggler effect. In addition, we adopt a semi-asynchronous FL aggregation mechanism to reduce communic
作者: 壯觀的游行    時間: 2025-3-29 12:15

作者: Basilar-Artery    時間: 2025-3-29 17:59
Hu-Chen Liues to suppress useless information expression in skip connections and upsampling processes while focusing more on effective spatial and channel information in features. The experiments show that our proposed network gets superior performance than benchmark methods and indicates the generalization an
作者: 長矛    時間: 2025-3-29 21:02
Hu-Chen Liuh before pooling. Through TreePool, multiple views of representation are learned and fused to obtain the final code graph representation. We conduct TreePool on a supervised framework and experimental results demonstrate that the average improvements on two real-world datasets in terms of accuracy a
作者: 官僚統(tǒng)治    時間: 2025-3-30 01:10
es to suppress useless information expression in skip connections and upsampling processes while focusing more on effective spatial and channel information in features. The experiments show that our proposed network gets superior performance than benchmark methods and indicates the generalization an
作者: contradict    時間: 2025-3-30 06:16
Book 2019cience and engineerin. It can be considered as the guiding document for how a healthcare organization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students..
作者: 財主    時間: 2025-3-30 09:38

作者: CHURL    時間: 2025-3-30 13:39

作者: Crater    時間: 2025-3-30 17:31
Healthcare Risk Management from a Proactive PerspectiveOver the last decades, the prevalence of medical errors has been a high-interest area both for the public and healthcare system.




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