Identifying the risk of sepsis in patients with cancer using digital health care records: machine learning-based approach

HIGHLIGHTS

• who: Unknown from the (UNIVERSITY) have published the paper: Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based Approach, in the Journal: (JOURNAL)
• what: Based on the results of the analyses, the authors propose a machine_learning-based sepsis predictive model that can reflect the physical conditions of patients with cancer and is trained on the prescribed drug and lab test patterns as well as EHRs, which XSL.
• how: To validate the hypothesis the authors analyzed 2462 lab test results and 2266 medication prescriptions using network . . .
  

   

  

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