Diabetes Dataset

Published: 18 July 2020| Version 1 | DOI: 10.17632/wj9rwkp9c2.1
Ahlam Rashid


The construction of diabetes dataset was explained. The data were collected from the Iraqi society, as they data were acquired from the laboratory of Medical City Hospital and (the Specializes Center for Endocrinology and Diabetes-Al-Kindy Teaching Hospital). Patients' files were taken and data extracted from them and entered in to the database to construct the diabetes dataset. The data consist of medical information, laboratory analysis. The data attribute are: The data consist of medical information, laboratory analysis… etc. The data that have been entered initially into the system are: No. of Patient, Sugar Level Blood, Age, Gender, Creatinine ratio(Cr), Body Mass Index (BMI), Urea, Cholesterol (Chol), Fasting lipid profile, including total, LDL, VLDL, Triglycerides(TG) and HDL Cholesterol , HBA1C, Class (the patient's diabetes disease class may be Diabetic, Non-Diabetic, or Predict-Diabetic).


Steps to reproduce

they are taken 1000 patients and cover three classes (Diabetic, Non-Diabetic, and Predicted- Diabetic). Diabetes is an opportune disease which has large wealth of data available and has with it huge complications. There is a need for a better and a more accurate approach in the diagnosis of the disease


University of Information Technology


Applied Sciences, Health Sciences