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Condition: Hemorrhagic Stroke
Education: Training
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Total 247 results found since Jan 2013.
Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
ConclusionsThe XGBoost model accurately predicted 28-day all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. The SHAP method can provide explicit explanations of personalized risk prediction, which can aid physicians in understanding the model.
Source: Frontiers in Neurology - August 8, 2023 Category: Neurology Source Type: research
Integrated Nursing and Targeted Functional Training for Cerebral Hemorrhage Recovery
CONCLUSIONS: Integrating medical nursing with targeted functional training interventions has the potential to significantly improve cognitive function, neurological function, and daily activity engagement in patients with cerebral hemorrhage, thereby enhancing their overall quality of life.PMID:37499153
Source: Alternative Therapies in Health and Medicine - July 27, 2023 Category: Complementary Medicine Authors: Xia Fu Chao Hu Jiangyu Fu Zhifei Li Source Type: research
Deep-Learning-Enabled Microwave-Induced Thermoacoustic Tomography Based on ResAttU-Net for Transcranial Brain Hemorrhage Detection
Conclusion: The proposed ResAttU-Net-based DL-MITAT method is promising for mitigating the acoustic inhomogeneity issue and performing transcranial brain hemorrhage detection. Significance: This work provides a novel ResAttU-Net-based DL-MITAT paradigm and paves a compelling route for transcranial brain hemorrhage detection as well as other transcranial brain imaging applications.
Source: IEEE Transactions on Biomedical Engineering - July 21, 2023 Category: Biomedical Engineering Source Type: research
Effects of Conventional Speech Therapy with Liuzijue Qigong, a Traditional Chinese Method of Breath Training, in 70 Patients with Post-Stroke Spastic Dysarthria
CONCLUSIONS LQG, when combined with conventional speech therapy, enhanced the comprehensive speech ability of patients with PSSD compared with conventional treatment alone.PMID:37365796 | DOI:10.12659/MSM.939623
Source: Medical Science Monitor - June 27, 2023 Category: Research Authors: Jiayi Xia Song Pei Zhu Chen Lin Wang Jun Hu Jian Wang Source Type: research
CT Angiography Radiomics Combining Traditional Risk Factors to Predict Brain Arteriovenous Malformation Rupture: a Machine Learning, Multicenter Study
This study aimed to develop a machine learning model for predicting brain arteriovenous malformation (bAVM) rupture using a combination of traditional risk factors and radiomics features. This multicenter retrospective study enrolled 586 patients with unruptured bAVMs from 2010 to 2020. All patients were grouped into the hemorrhage (n = 368) and non-hemorrhage (n = 218) groups. The bAVM nidus were segmented on CT angiography images using Slicer software, and radiomic features were extracted using Pyradiomics. The dataset included a training set and an independent testing set. The machine learning model was developed on the...
Source: Translational Stroke Research - June 13, 2023 Category: Neurology Source Type: research
Effects of community ambulation training with 3D-printed ankle –foot orthosis on gait and functional improvements: a case series of three stroke survivors
IntroductionMany of the patients using ankle–foot orthoses (AFOs) experience poor fit, pain, discomfort, dislike of the aesthetics of the device, and excessive range of motion restrictions, which diminish the use of AFOs. Although 3D-printed ankle–foot orthoses (3D-AFOs) affect patient satisfaction and overall gait functions such as ankle moment, joint range of motion (ROM), and temporal-spatial parameters, the material properties and manufacturing process of 3D-AFOs are still diverse; the clinical effects of community ambulation using 3D-AFOs and satisfaction in patients with stroke are poorly understood.Case descript...
Source: Frontiers in Neurology - May 31, 2023 Category: Neurology Source Type: research
A Nomogram Model for Predicting Prognosis in Spontaneous Intracerebral Hemorrhage Patients
CONCLUSIONS: ICH score, GCS score, irregular shape, uneven density, IVH relation, surgery are easily available indicators to assist neurologists in formulating the most appropriate therapy for every intracranial hemorrhage patient. Further large prospective clinical trials are needed to obtain more integrated and reliable conclusions.PMID:36992585 | DOI:10.31083/j.jin2202042
Source: Journal of Integrative Neuroscience - March 30, 2023 Category: Neuroscience Authors: Yunjie Li Xia Liu Jingxuan Wang Chao Pan Zhouping Tang Source Type: research
