11 datasets found

The CLARO dataset consists of clinical information of 297 patients suffering from non-small cell lung cancer.

Survival analysis is a critical tool for the modelling of time-to-event data, such as life expectancy after a cancer diagnosis or optimal maintenance scheduling for complex...

The dataset used in this paper for survival analysis with deep learning models.

The dataset used in the paper is the RotGBSG dataset, which contains information on patients with cancer.

The METABRIC dataset contains clinical data for breast cancer patients, including features and event times.

The Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments provides information about 8873 seriously ill hospitalized adults with 14 features...

The dataset used in this paper is a collection of patient data from the SEER database, including variables such as age, gender, grade, and treatment information.

The SUPPORT dataset is a large collection of patient data used for survival analysis. It contains information on demographics, physiological measurements, and outcomes for...

Applications of machine learning in healthcare often require working with time-to-event prediction tasks including prognostication of an adverse event, re-hospitalization, and...

The pbc data set contains 418 observations, of which 312 patients participated in the randomized trial.

The Titanic dataset contains information about passengers of the Titanic ship, including demographic and survival data.