data-intelligence-for-health-lab/BloodLaboratoryTestRedundancy: Redundancy in Blood Laboratory Tests

Name: data-intelligence-for-health-lab/BloodLaboratoryTestRedundancy: Redundancy in Blood Laboratory Tests
Creator: Valderrama, Camilo

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Mar 2022Publisher:Zenodo

Authors: Valderrama, Camilo;

doi: 10.5281/zenodo.6383240 , 10.5281/zenodo.6383239

data-intelligence-for-health-lab/BloodLaboratoryTestRedundancy: Redundancy in Blood Laboratory Tests

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Abstract

This repository contains the function used to assess the Approaches for predicting laboratory abnormal results. The code is publicly available although our data cannot be shared due to privacy issues. The file fuzzyModeling_stratified_v3.py calculates the performance for the fuzzy model, whereas the file ML_models_stratified_ap2.py calculates the performance for the machine learning models.

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