Accurate prediction of heart disease based on bio system using regressive learning based neural network classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-020-02786-2.pdf
Reference22 articles.
1. Alba X, Pereanez M (2016) An algorithm for the segmentation of highly abnormal hearts using a generic statistical shape model. IEEE Trans Med Imaging 35(3):845–859
2. Allan G, Nouranian S (2016) Simultaneous analysis of 2D echo views for left atrial segmentation and disease detection. IEEE Trans Med Imaging 36(1):40–50
3. Born S, Pfeifle M (2013) Visual analysis of cardiac 4D MRI blood flow using line predicates. IEEE Trans Vis Comput Graph 19(6):900–912
4. Duchateau N, De Craene M (2016) Infarct localization from myocardial deformation: prediction and uncertainty quantification by regression from a low dimensional space. IEEE Trans Med Imaging 35(10):2340–2352
5. Fadnes S, Wigen M (2017) In vivo intra-cardiac vector velocity imaging using phased array transducers for pediatric cardiology. IEEE Trans Ultrason Ferroelectr Freq Control 64(9):1318–1326
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease;Biomedical Signal Processing and Control;2024-01
2. CSChO-Deep MaxNet: Cat swam chimp optimization integrated deep maxout network for heart disease detection;Biomedical Signal Processing and Control;2023-08
3. Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions;Artificial Intelligence Review;2023-04-28
4. Automatic Heart Disease Diagnosis Based on MRI Image Using Deep Neural Network;Advances in Medical Technologies and Clinical Practice;2022-11-11
5. A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model;Biocybernetics and Biomedical Engineering;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3