A practical application of neural network analysis for predicting outcome of individual breast cancer patients
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
Link
http://link.springer.com/content/pdf/10.1007/BF01840841.pdf
Reference12 articles.
1. Gorman RP, Sejnowski TJ: Analysis of hidden units in a layered network trained to classify Sonar targets. Neural Networks 1:75–89, 1988.
2. O'Neill MC: Training back-propagation neural networks to define and detect DNA-binding sites. Nucleic Acids Res 19:313–318, 1991.
3. Qian N, Sejnowski TJ: Predicting the secondary structure of globular proteins using neural network models. J Mol Biol 202:865–884, 1988.
4. Sejnowski TJ, Rosenberg CR: Net talk: A parallel network that learns to read aloud. Technical Report JHU/eecs-86-01. The Johns Hopkins University, 1986.
5. Reibnegger G, Weiss G, Werner-Felmayer G, Judmaier G, Wachter H: Neural networks as a tool for utilizing laboratory information: Comparison with linear discriminant analysis and with classification and regression trees. Proc Natl Acad Sci USA 88:11426–11430, 1991.
Cited by 104 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. Sample size and predictive performance of machine learning methods with survival data: A simulation study;Statistics in Medicine;2023-11-10
2. Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal;Computational and Mathematical Methods in Medicine;2022-09-30
3. Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques;Computational and Mathematical Methods in Medicine;2022-08-16
4. Artificial Neural Networks Approach for Hardness Prediction of Copper Cold Spray Laser Heat Treated Coatings;Journal of Thermal Spray Technology;2022-01-11
5. A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data;Computational and Mathematical Methods in Medicine;2021-11-28
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