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Al Olaimat M

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Articles

Deep learning-based in-hospital mortality prediction using long-term sequential data in ICU patients: a multi-center validation study

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By Xinran Xu, Yu Guo, Al Olaimat M
| PeerJ
Accurate prediction of in-hospital mortality remains an important challenge in critical care. This study shows that deep learning models using only diagnostic and demographic data can achieve robust discrimination across three large databases. The advent of the big data era and the exponential improvement in ICU monitoring accuracy have given rise to large-scale databases of patients’ longitudinal information, providing fertile ground for the application of deep learning (DL) algorithms.
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