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diabetes_data_upload

Citation Author(s):
Chao-Yu Guo (Naitional Yang Ming Chiao Tung University)
Yi-Jyun Lin
Submitted by:
Chao-Yu Guo
Last updated:
DOI:
10.21227/8mrc-z624
Data Format:
Research Article Link:
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Abstract

"Early Stage Diabetes Risk Prediction Dataset" from the University of California, Irvine (UCI) machine learning Repository. This data was collected from a direct questionnaire of patients from the Diabetes Hospital in Sylhet, Bangladesh. It contains a total of 520 people with diabetes. Related symptoms are in the reference, of which 320 people have diabetes, and 200 do not.

Instructions:

The R code of the Random Interaction Forest use this dataset as an application.

## Step 1: Change the directory and data set name

data = read.csv("Path_To_diabetes_data_upload/diabetes_data_upload.csv", header = T)

## Step 2:Define the number of variables selected in random forrest

The first version of R code that implements the Random Interaction Forest (RIF)
Chao-Yu Guo Wed, 01/04/2023 - 12:13 Permalink