While traditional medical informatics focus primarily on disease classification problems, the
disease survivability prediction for patients suffering from multi-stage conditions (eg …

Survivability of cancer strongly depends on the stage of cancer. In most previous works,
machine learning survivability prediction models for a particular cancer, were trained and …

Knowledge of survivability is crucial for cancer patients and their families. This paper
employs the Surveillance, Epidemiology, and End Results (SEER) database to predict the …

For all cancer types, survivability rates vary widely across different stages of cancer. But
survivability prediction models built in past were trained using examples of all stages …

The significance of prognostic survivability in determining optimal treatment strategies for
critical illnesses is widely acknowledged. However, there has been a lack of emphasis on …

The prediction of cancer survivability in patients remains a challenging task due to its
complexity and heterogeneity. Nevertheless, studying cancer survivability has been …

This research uses breast cancer data from the Surveillance, Epidemiology, and End
Results (SEER) dataset's (1973-2010), which contains 684394 records. It is cleaned using …

In this paper, we report on our experiments with SEER data and the problem of five-year
survivability prediction using logistic regression. This work provides a detailed process for …

arXiv:1911.00776v1 [cs.LG] 2 Nov 2019 Page 1 Ten-year Survival Prediction for Breast
Cancer Patients Changmao Li, Han He, Yunze Hao, Caleb Ziems Emory University {changmao.li …

Breast cancer is categorized as an aggressive disease, and it is one of the leading causes of
death. Accurate survival predictions for both long-term and short-term survivors, when …