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Mortality Risk Prediction of ICU Patients with Sepsis Considering Dynamic Time Series Characteristics under Uncertainty

People Involved

Dr Yongqiang Cheng

Project Description

ICU patients with sepsis have rapidly changing conditions and high mortality. Because of it, early prediction and timely intervention are the keys to reducing the risk of death.
The project aims to provide critical care physicians with an intelligent, efficient, and accurate model for predicting the risk of mortality in sepsis patient mortality.
It will not only help medical staff to monitor the patient's condition but also improve the treatment plan and medical quality of septic patients, thereby reducing the economic burden on patients and their families, as well as promoting the development and construction of a harmonious society.

Status Project Live
Value £11,989.00
Project Dates Mar 31, 2023 - Mar 30, 2025

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