i6092467/pediatric-appendicitis-ml
Using ML to predict the diagnosis, management, and severity of pediatric appendicitis
This project helps medical professionals, specifically pediatricians and emergency room doctors, assess suspected appendicitis in children. By inputting patient data, it predicts the likelihood of appendicitis, suggests appropriate management (surgical or non-surgical), and estimates the condition's severity. It is designed for use by clinicians in a research or diagnostic support context.
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Use this if you are a clinician or researcher evaluating pediatric patients for appendicitis and want to leverage machine learning to support diagnosis and management decisions.
Not ideal if you need a certified medical device for direct clinical use or if you are not comfortable working with R and RStudio to run analyses.
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R
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Last pushed
Feb 14, 2023
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