A machine-learning approach for prediction of hospital mortality in cancer-related sepsis
Objective: To develop a machine learning model to predict hospital mortality and identify risk factors in cancer-related sepsis patients. Method: We obtained data from the Medical Information Mart for Intensive Care (MIMIC)-IV critical care data set, which included patients who diagnosed with cancer...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-12-01
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| Series: | Clinical eHealth |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588914123000126 |