Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
Author:
Affiliation:
1. Department of Public Health and Medical Administration, Dongyang University, Yeongju, Korea.
2. Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
3. Breast Cancer Center, Ulsan City Hospital, Ulsan, Korea.
Publisher
The Korean Society of Medical Informatics
Subject
Health Information Management,Health Informatics,Biomedical Engineering
Link
http://synapse.koreamed.org/pdf/10.4258/hir.2016.22.2.89
Reference13 articles.
1. Improvement of breast cancer relapse prediction in high risk intervals using artificial neural networks
2. A combined neural network and decision trees model for prognosis of breast cancer relapse
3. Classification of Ipsilateral Breast Tumor Recurrences After Breast Conservation Therapy Can Predict Patient Prognosis and Facilitate Treatment Planning
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