Interpretable machine learning to optimize early in-hospital mortality prediction for elderly patients with sepsis: a discovery study

HIGHLIGHTS

• who: Xiaowei Ke and collaborators from the Department of Emergency Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China have published the article: Interpretable Machine Learning to Optimize Early In-Hospital Mortality Prediction for Elderly Patients with Sepsis: A Discovery Study, in the Journal: Computational and Mathematical Methods in Medicine 1.5 of 15/Dec/2022
• what: This study is aimed at using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database to develop a valid model for predicting the in-hospital mortality of elderly patients diagnosed with sepsis in accordance with The . . .
  

   

  

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