Development and Validation of Web-Based Nomograms to Predict Postoperative Invasive Component in Ductal Carcinoma in Situ at Needle Breast Biopsy
Seong Cheol Lee, Myung-Chul Chang
Healthc Inform Res. 2014;20(2):152-156.   Published online 2014 Apr 30     DOI: https://doi.org/10.4258/hir.2014.20.2.152
Citations to this article as recorded by Crossref logo
Identification of risk factors and development of the nomogram for delirium
Min-Seok Shin, Ji-Eun Jang, Jea-Young Lee
Communications for Statistical Applications and Methods.2021; 28(4): 339.     CrossRef
Nomogram construction to predict dyslipidemia based on a logistic regression analysis
Ju-Hyun Seo, Hyun-Ji Kim, Jea-Young Lee
Journal of Applied Statistics.2020; 47(5): 914.     CrossRef
Novel nomogram based on risk factors of chronic obstructive pulmonary disease (COPD) using a naïve Bayesian classifier model
Ju-Hyun Seo, Jea-Young Lee
Journal of the Korean Statistical Society.2019; 48(2): 278.     CrossRef
Novel nomogram for screening the risk of developing diabetes in a Korean population
Seung Min Chung, Jae Cheol Park, Jun Sung Moon, Jea Young Lee
Diabetes Research and Clinical Practice.2018; 142: 286.     CrossRef
A prediction model for underestimation of invasive breast cancer after a biopsy diagnosis of ductal carcinoma in situ: based on 2892 biopsies and 589 invasive cancers
Claudia J. C. Meurs, Joost van Rosmalen, Marian B. E. Menke-Pluijmers, Bert P. M. ter Braak, Linda de Munck, Sabine Siesling, Pieter J. Westenend
British Journal of Cancer.2018; 119(9): 1155.     CrossRef