Publications by authors named "Sujuan Tang"
[Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
July 2023
Objective: To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model.
Methods: The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred.
[Construction of a predictive model for early acute kidney injury risk in intensive care unit septic shock patients based on machine learning].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
March 2022
Article Synopsis
- The study looks at patients in the ICU who have septic shock and tries to find out what factors lead to acute kidney injury (AKI).
- Researchers collected data from 303 patients, finding that about half of them (50.50%) developed AKI within a week.
- They created a prediction model using important health measurements, which showed good accuracy in identifying patients at risk for AKI.
A healthy body activates the immune response to target invading pathogens (i.e. viruses, bacteria, fungi, and parasites) and avoid further systemic infection.
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