Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients
ABSTRACT This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra‐abdominal candidiasis (IAC) in septic patients. A prospective cohort study of 633 consecutive patients diagnosed with sepsis and intra‐abdominal...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2025-01-01
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Series: | Clinical and Translational Science |
Subjects: | |
Online Access: | https://doi.org/10.1111/cts.70140 |
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