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- W2906053020 abstract "Chronic kidney disease (CKD) is an important health and healthcare system problem. The ability to predict which patients will develop CKD is a difficult task due to the complex nonlinear relationships among related factors. Using artificial neural networks (ANN), applied to a population 17 through 90 years of age, we achieved 97% accuracy in classification, based on standard laboratory test and patient data. The technique was also helpful in determining which features of the data are most predictive; 75% of the features were sufficient to reach this high level of accuracy." @default.
- W2906053020 created "2019-01-01" @default.
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- W2906053020 date "2018-05-07" @default.
- W2906053020 modified "2023-09-24" @default.
- W2906053020 title "An Artificial Neural Network Framework to Predict Patients with High Likelihood of Chronic Kidney Disease" @default.
- W2906053020 hasPublicationYear "2018" @default.
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