From 03ac8c530ffe467d6dea72b88ff294c7171947e3 Mon Sep 17 00:00:00 2001 From: BlazZupan Date: Mon, 19 Feb 2024 16:02:02 -0600 Subject: [PATCH] add pima indians diabetes data --- core/pima-indians-diabetes.xlsx.info | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 core/pima-indians-diabetes.xlsx.info diff --git a/core/pima-indians-diabetes.xlsx.info b/core/pima-indians-diabetes.xlsx.info new file mode 100644 index 0000000..79726ba --- /dev/null +++ b/core/pima-indians-diabetes.xlsx.info @@ -0,0 +1,24 @@ +{ + "collection": "UCI", + "description": "The goal of the dataset is to assess if we can predict whether or not a patient has diabetes based on diagnostic measures that include the number of pregnancies the person has had, their body mass index, insulin levels, and age. Several restrictions were placed on the selection of subjects for this study. Specifically, all patients are women at least 21 years of age of Pima Indian descent.", + "name": "pima-indians-diabetes", + "title": "Pima Indians Diabetes", + "instances": 768, + "variables": 9, + "missing": true, + "target": "categorical", + "size": 43820, + "year": 1988, + "version": "1.0", + "tags": [ + "medicine" + ], + "references": [ + "Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proc. of the Symposium on Computer Applications and Medical Care (pp. 261--265). IEEE Computer Society Press." + ], + "source": "UCI ML Repository", + "seealso": [ + "Pima Indians Diabetes Database on KAGGLE." + ], + "url": "https://datasets.biolab.si/core/yplp.xlsx" +} \ No newline at end of file