An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Journal: Medicine

Published Date: Jan 28, 2022

Abstract

BACKGROUND: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no reports in literature about apps developed and designed in medical practice to classify the 5YSPBC. This study aimed to build a model to develop an app for an automatically accurate classification of the 5YSPBC.

Authors

Cheng-Yao Lin

Division of Hematology-Oncology, Department of Internal Medicine, Chi Mei Medical Center, Liouying, Tainan, Taiwan.
Tsair-Wei Chien

Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan.
Yen-Hsun Chen

Division of Hematology-Oncology, Department of Internal Medicine, Chi Mei Center, Liouying, Tainan, Taiwan.
Yen-Ling Lee

Department of Oncology, Tainan Hospital, Ministry of Healthy and Welfare, Tainan, Taiwan.
Shih-Bin Su

Department of Occupational Medicine, Chi Mei Medical Center, Tainan, Taiwan.

Keywords

Adult Aged Aged, 80 and over Artificial Intelligence Bayes Theorem Breast Neoplasms Female Humans Middle Aged Mobile Applications Neural Networks, Computer Prognosis ROC Curve Sensitivity and Specificity Survival Rate

External Resources

View on PubMed Access via DOI PubMed (35089226)

An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals