… of deep learning approaches is elaborated in Sect. 4.2. In this study, we have used deep
learning algorithms for the survival prediction of breast cancer patients. The prediction …

… Accurate survival predictions for both long-term and short-term survivors, when delivered
on … In this study, we propose an ensemble model for breast cancer survivability prediction (…

… We contribute to identifying an approach to estimate survivability that are commonly and …
This study utilizes deep learning to predict exact survival period to improve the prediction …

… of survival predictions for diverse populations. Additionally, this study focuses on using a
complementary deep learning approach, a specific subset of machine learning that uses neural …

… has been applied to prostate patient survivability prediction, such as k … deep learning has
been proved as a strong technique and became a research hotspot. As a kind of deep learning …

… Deep Learning is a new trend in machine learning. This … to predict the survivability of
Leukemia patients using Deep … The “Deep Neural Network- DNN” is an example of deep learning …

… In conclusion, this study presents a slight improvement in the accuracy of breast cancer
survivability prediction using a deep learning technique. The feature importance analysis …

… The new data enabled us to experiment with a newer set of features and get better predictive
accuracy using deep learning methods, as presented in this article. The cutoff date for the …

… The ensemble technique utilized several deep learning–based classifiers for predicting
cancer occurrence. Ref. [27] used clinical data of patients of the Iranian Center for Breast Cancer …

… breast cancer survivability predictions in two … for survivability predictions. We compare the
performance of a statistical method (GLM), an ensemble method (XGB), and a deep learning …