Towards real-time diagnosis for pediatric sepsis using graph neural network and ensemble methods

CONCLUSIONS: The prediction model toward a real-time diagnosis of sepsis shows more accurate predictions at each stage compared to other control methods. When the first two stages of data are obtained as input, the model accuracy is close to using complete test data, which can help compress the time to diagnosis to about an hour after the test and significantly reduce waiting time.PMID:34337717 | DOI:10.26355/eurrev_202107_26380

Source: European Review for Medical and Pharmacological Sciences - August 2, 2021 Category: Drugs & Pharmacology Authors: X Chen R Zhang X-Y Tang Source Type: research