An Ensemble Classifier for Predicting the Onset of Type II Diabetes

Autor:	Semerdjian, John, Frank, Spencer
Rok vydání:	2017
Předmět:	Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	Prediction of disease onset from patient survey and lifestyle data is quickly becoming an important tool for diagnosing a disease before it progresses. In this study, data from the National Health and Nutrition Examination Survey (NHANES) questionnaire is used to predict the onset of type II diabetes. An ensemble model using the output of five classification algorithms was developed to predict the onset on diabetes based on 16 features. The ensemble model had an AUC of 0.834 indicating high performance. Comment: 8 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1708.07480 Zobrazit plný text záznamu View this record from Arxiv