Disease prediction by network information gain on a single sample basis
There are critical transition phenomena during the progression of many diseases. Such critical transitions are usually accompanied by catastrophic disease deterioration, and their prediction is of significant importance for disease prevention and treatment. However, predicting disease deterioration...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2025-01-01
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Series: | Fundamental Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667325823000316 |
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