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TemporAI is an open source Python software library for machine learning (ML)tasks involving data with a time component, focused on medicine and healthcareuse cases. It supports data in time series, static, and eventmodalities andprovides an interface for prediction, causal inference, and time-to-eventanalysis, as well as common preprocessing utilities and model interpretabilitymethods. The library aims to facilitate innovation in the medical ML space byoffering a standardized temporal setting toolkit for model development,prototyping and benchmarking, bridging the gaps in the ML research, healthcareprofessional, medical/pharmacological industry, and data science communities.TemporAI is available on GitHub (https://github.com/vanderschaarlab/temporai)and we welcome community engagement through use, feedback, and codecontributions.

TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine