This repository includes an optimized XGBoost Classifier and necessary files to build the webpage for a usable interface. The interface, utilizing the trained model, takes input of a neonate's gestation age, postnatal age, creatinine, and birth weight, and produces one of five predicted outcomes/suggestions of the treatment for the patient.
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This repository includes an optimized XGBoost Classifier and necessary files to build the webpage for a usable interface. The interface, utilizing the trained model, takes input of a neonate's gestation age, postnatal age, creatinine, and birth weight, and produces one of five predicted outcomes/suggestions of the treatment for the patient.
NUBagciLab/Therapeutic-Hypothermia-Outcome-Classification
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This repository includes an optimized XGBoost Classifier and necessary files to build the webpage for a usable interface. The interface, utilizing the trained model, takes input of a neonate's gestation age, postnatal age, creatinine, and birth weight, and produces one of five predicted outcomes/suggestions of the treatment for the patient.
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