10 datasets found

The dataset used in this study is a large outpatient cohort of patients who underwent electrocardiogram (ECG) and hemoglobin A1c (HbA1c) testing. The dataset contains...

Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on...

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

The dataset used in the paper for numeric data generation and classification.

The dataset used in this paper is a diabetic cohort from the same hospital, containing 2,840 diabetic admissions.

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

The dataset used in the paper is the Pima Indian diabetes dataset, which contains 768 entries, 8 dimensions, and 2 classes.

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

The Pima Indians Diabetes Database contains samples from females in the Pima Indian population near Phoenix, Arizona.