scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn

Poelsterl, Sebastian (2020): scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn. In: Journal of Machine Learning Research, Bd. 21, 212

Abstract

scikit-survival is an open-source Python package for time-to-event analysis fully compatible with scikit-learn. It provides implementations of many popular machine learning techniques for time-to-event analysis, including penalized Cox model, Random Survival Forest, and Survival Support Vector Machine. In addition, the library includes tools to evaluate model performance on censored time-to-event data. The documentation contains installation instructions, interactive notebooks, and a full description of the API. scikit-survival is distributed under the GPL-3 license with the source code and detailed instructions available at https://github.com/sebp/scikit- survival

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1532-4435
• Sprache: Englisch