Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors

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Bibliografiska uppgifter
I publikationen:	Journal of Big Data vol. 12, no. 1 (Jul 2025), p. 165
Huvudupphov:	Wei, Juan
Övriga upphov:	Lin, Feihong, Jin, Tian, Yao, Qian, Wang, Sheng, Feng, Di, Lv, Xin, He, Wen
Utgiven:	Springer Nature B.V.
Ämnen:	Patients Electronic health records Deep learning Sepsis Mortality Multilayer perceptrons Neural networks Survival Ablation Optimization Resource allocation Hospitals Data processing Machine learning Time series Intensive care Global health Survival analysis Critical care Hematology Big Data Databases Experiments Long term Robustness Survivor Mortality rates Anatomical systems Discharge Predictions Vulnerability High risk Health services Health care
Länkar:	Citation/Abstract Full Text Full Text - PDF
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