Abstract
TemporAI is an open source Python software library for machine learning (ML) tasks involving data with a time component, focused on medicine and healthcare use cases. It supports data in time series, static, and eventmodalities and provides an interface for prediction, causal inference, and time-to-event analysis, as well as common preprocessing utilities and model interpretability methods. The library aims to facilitate innovation in the medical ML space by offering a standardized temporal setting toolkit for model development, prototyping and benchmarking, bridging the gaps in the ML research, healthcare professional, medical/pharmacological industry, and data science communities. TemporAI is available on GitHub (this https URL) and we welcome community engagement through use, feedback, and code contributions.
Abstract (translated)
TemporAI 是一个开源的 Python 软件库,用于涉及时间数据的机器学习任务,专注于医疗和 healthcare 应用领域。该库支持时间序列、静态和事件数据,并提供预测、因果关系分析和时间到事件分析的接口,以及常见的预处理 utilities 和模型解释方法。该库旨在通过提供标准化的时间设置工具包,促进医疗机器学习领域的创新,填补机器学习研究、医疗保健专业人员、医学/药科学界和数据科学社区之间的差异。 TemporAI 可以在 GitHub 上找到(此 https URL),我们欢迎通过使用、反馈和代码贡献参与社区。
URL
https://arxiv.org/abs/2301.12260