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.

TemporAI 是一个开源的 Python 软件库，专注于医疗保健，支持时间序列，静态和事件模态的数据分析，提供预测、因果推断和事件时间分析的接口，以及常见预处理工具和模型可解释性方法。该库旨在通过提供标准化的时间设置工具包来促进医学机器学习领域的创新，为模型开发、原型设计和基准测试提供支持，并弥合了机器学习研究、医疗保健专业人士、医疗 / 药物工业和数据科学社区之间的差距。TemporAI 可在 GitHub（此网址）获得，我们欢迎社区通过使用、反馈和代码贡献来参与支持。