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MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction

2025-08-27

Abstract excerpt

<title>Abstract</title> <p>Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is collecting high-quality time series clinical events. In this work, we release such a dataset that consists of 22,588,586 Clinical Time Series events, which we term MIMIC-IV-Ext-22MCTS. Our source data are discharge sum- m...

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Literature Corpus work: 8ad37917-a9c5-5f6e-a943-0e9d86b72d29
DOI: 10.21203/rs.3.rs-6347897/v1

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