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Total 21 results found since Jan 2013.
Retracted: Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning
Comput Math Methods Med. 2023 Aug 9;2023:9875856. doi: 10.1155/2023/9875856. eCollection 2023.ABSTRACT[This retracts the article DOI: 10.1155/2022/5435207.].PMID:37601272 | PMC:PMC10432735 | DOI:10.1155/2023/9875856
Source: Computational and Mathematical Methods in Medicine - August 21, 2023 Category: Statistics Authors: Computational And Mathematical Methods In Medicine Source Type: research
Antistroke Network Pharmacological Prediction of Xiaoshuan Tongluo Recipe Based on Drug-Target Interaction Based on Deep Learning
In this study, the network pharmacological prediction of stroke based on deep learning is obtained. (1) In the case of discrete time, a distributed optimization algorithm with finite time convergence is applied. A distributed exact first-order algorithm for the case where the objective function is smooth. On the basis of the DGD algorithm, an additional cumulative correction term is added to correct the error caused by the fixed step size of DGD. Solve multiple optimization problems with equality constraints by using Lagrangian functions. Alternately update the original variable and the dual variable to get the solution of...
Source: Computational and Mathematical Methods in Medicine - August 12, 2022 Category: Statistics Authors: Yongfu Zhou Source Type: research
Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression
CONCLUSION: The team-based nursing model has a good effect on the blood glucose control level of middle-aged and young diabetic patients. Age, BMI, and glucose values are risk factors for diabetes. The SF algorithm has a good effect on predicting the risk of diabetes, which is worthy of further clinical application.PMID:35936376 | PMC:PMC9355774 | DOI:10.1155/2022/3882425
Source: Computational and Mathematical Methods in Medicine - August 8, 2022 Category: Statistics Authors: Dongni Qian Hong Gao Source Type: research
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
CONCLUSION: According to the study results, it is evaluated that systolic and diastolic blood pressure values can be calculated with a high-performance ratio with 16-second ECG signals.PMID:35903432 | PMC:PMC9325348 | DOI:10.1155/2022/5714454
Source: Computational and Mathematical Methods in Medicine - July 29, 2022 Category: Statistics Authors: Majid Nour Derya Kandaz Muhammed Kursad Ucar Kemal Polat Adi Alhudhaif Source Type: research
Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning
Comput Math Methods Med. 2022 Apr 27;2022:5435207. doi: 10.1155/2022/5435207. eCollection 2022.ABSTRACTIt is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to make accurate evaluation and optimize the stroke disease treatment plan according to the evaluation results. To address the problems of poor restoration effect of positron emission tomography (PET) image and recognition restoration effect of evaluation data and so on. In the paper, we propose a stroke rehabilitation treatment effect evaluation algorithm based on cross-modal deep learning. Magnetic resonance images (MRI) and...
Source: Computational and Mathematical Methods in Medicine - May 9, 2022 Category: Statistics Authors: Lei Wang Rongxing Zhang Qinming Yu Source Type: research
Object-Specific Four-Path Network for Stroke Risk Stratification of Carotid Arteries in Ultrasound Images
In this study, we propose an object-specific four-path network (OSFP-Net) for stroke risk assessment by integrating ultrasound carotid plaques in both transverse and longitudinal sections of the bilateral carotid arteries. Each path of the OSFP-Net comprises of a feature extraction subnetwork (FE) and a feature downsampling subnetwork (FD). The FEs in the four paths use the same network structure to automatically extract features from ultrasound images of carotid plaques. The FDs use different object-specific pooling strategies for feature downsampling based on the observation that the sizes and shapes in the feature maps ...
Source: Computational and Mathematical Methods in Medicine - May 5, 2022 Category: Statistics Authors: Wei Ma Yujiao Xia Xiaoyan Wu Zheng Yue Xinyao Cheng Aaron Fenster Mingyue Ding Source Type: research
