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Source: Atherosclerosis
Education: Learning
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Total 65 results found since Jan 2013.
Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques
CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang Source Type: research
Development and validation of a prediction model to predict major adverse cardiovascular events in elderly patients undergoing noncardiac surgery: A retrospective cohort study
CONCLUSIONS: This prediction model based on the traditional method could accurately predict the risk of MACEs after noncardiac surgery in elderly patients.PMID:37315395 | DOI:10.1016/j.atherosclerosis.2023.06.008
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Kai Zhang Chang Liu Xiaoling Sha Siyi Yao Zhao Li Yao Yu Jingsheng Lou Qiang Fu Yanhong Liu Jiangbei Cao Jiaqiang Zhang Yitian Yang Weidong Mi Hao Li Source Type: research
Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques
CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang Source Type: research
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
Diagnostics (Basel). 2023 Aug 7;13(15):2614. doi: 10.3390/diagnostics13152614.ABSTRACTThe carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both invasive and non-invasive methods are used to detect plaque buildup in the arteries, with ultrasound imaging being the first line of diagnosis. This paper presents a comprehensive review of the existing literature on ultrasound image analysis methods for detecting and characterizing plaque buildup in the carotid artery. The r...
Source: Atherosclerosis - August 12, 2023 Category: Cardiology Authors: Najmath Ottakath Somaya Al-Maadeed Susu M Zughaier Omar Elharrouss Hanadi Hassen Mohammed Muhammad E H Chowdhury Ahmed Bouridane Source Type: research
