Artificial neural networks based Internet hypertension prediction tool development and validation
Author:
Publisher
Elsevier BV
Subject
Software
Reference18 articles.
1. 2003 European Society of Hypertension-European Society of Cardiology guidelines for the management of arterial hypertension, J. Hypertens. 21 (2003).
2. An artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer;Batuello;Urology,2001
3. The backpropagation learning with logarithmic transfer function;Bilski,2000
4. Objective monitoring of drug compliance: an important step in the management of hypertension resistant to drug therapy;Burnier;Am. J. Hypertens.,1999
5. Medication non-compliance is a risk factor for beginning dialysis in a tertiary hypertension clinic;Elliott;Am. J. Hypertens.,1995
Cited by 13 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. A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population;Scientific Reports;2023-01-02
2. Fuzzy Classifier Using the Particle Swarm Optimization Algorithm for the Diagnosis of Arterial Hypertension;Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design;2023
3. Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis;PLOS ONE;2022-04-07
4. Hypertensive Retinopathy Classification Using Improved Clustering Algorithm and the Improved Convolution Neural Network;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2022
5. Classification of hypertension using an improved unsupervised learning technique and image processing;Predictive Modeling in Biomedical Data Mining and Analysis;2022
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