Diabetes Research Patient Profiles

Columns

• PatientID: A unique identifier assigned to each patient, ranging from 6000 to 7878.
• Age: The age of the patients, with values from 20 to 90 years.
• Gender: Patient's gender, where 0 denotes Male and 1 denotes Female.
• Ethnicity: Patient's ethnicity, coded as: 0 (Caucasian), 1 (African American), 2 (Asian), 3 (Other).
• SocioeconomicStatus: Patient's socioeconomic status, coded as: 0 (Low), 1 (Middle), 2 (High).
• EducationLevel: Patient's education level, coded as: 0 (None), 1 (High School), 2 (Bachelor's), 3 (Higher).
• BMI: Body Mass Index of patients, ranging from 15 to 40.
• Smoking: Smoking status, where 0 indicates No and 1 indicates Yes.
• AlcoholConsumption: Weekly alcohol consumption in units, ranging from 0 to 20.
• PhysicalActivity: Weekly physical activity in hours, ranging from 0 to 10.
• DietQuality: Diet quality score, ranging from 0 to 10.
• SleepQuality: Sleep quality score, ranging from 4 to 10.
• FamilyHistoryDiabetes: Family history of diabetes, where 0 indicates No and 1 indicates Yes.
• GestationalDiabetes: History of gestational diabetes, where 0 indicates No and 1 indicates Yes.
• PolycysticOvarySyndrome: Presence of polycystic ovary syndrome, where 0 indicates No and 1 indicates Yes.
• PreviousPreDiabetes: History of previous pre-diabetes, where 0 indicates No and 1 indicates Yes.
• Hypertension: Presence of hypertension, where 0 indicates No and 1 indicates Yes.
• SystolicBP: Systolic blood pressure, ranging from 90 to 180 mmHg.
• DiastolicBP: Diastolic blood pressure, ranging from 60 to 120 mmHg.
• FastingBloodSugar: Fasting blood sugar levels, ranging from 70 to 200 mg/dL.
• HbA1c: Hemoglobin A1c levels, ranging from 4.0% to 10.0%.
• SerumCreatinine: Serum creatinine levels, ranging from 0.5 to 5.0 mg/dL.
• BUNLevels: Blood Urea Nitrogen levels, ranging from 5 to 50 mg/dL.
• CholesterolTotal: Total cholesterol levels, ranging from 150 to 300 mg/dL.
• CholesterolLDL: Low-density lipoprotein cholesterol levels, ranging from 50 to 200 mg/dL.
• CholesterolHDL: High-density lipoprotein cholesterol levels, ranging from 20 to 100 mg/dL.
• CholesterolTriglycerides: Triglycerides levels, ranging from 50 to 400 mg/dL.
• AntihypertensiveMedications: Use of antihypertensive medications, where 0 indicates No and 1 indicates Yes.
• Statins: Use of statins, where 0 indicates No and 1 indicates Yes.
• AntidiabeticMedications: Use of antidiabetic medications, where 0 indicates No and 1 indicates Yes.
• FrequentUrination: Presence of frequent urination, where 0 indicates No and 1 indicates Yes.
• ExcessiveThirst: Presence of excessive thirst, where 0 indicates No and 1 indicates Yes.
• UnexplainedWeightLoss: Presence of unexplained weight loss, where 0 indicates No and 1 indicates Yes.
• FatigueLevels: Fatigue levels, ranging from 0 to 10.
• BlurredVision: Presence of blurred vision, where 0 indicates No and 1 indicates Yes.
• SlowHealingSores: Presence of slow-healing sores, where 0 indicates No and 1 indicates Yes.
• TinglingHandsFeet: Presence of tingling in hands or feet, where 0 indicates No and 1 indicates Yes.
• QualityOfLifeScore: Quality of life score, ranging from 0 to 100.
• HeavyMetalsExposure: Exposure to heavy metals, where 0 indicates No and 1 indicates Yes.
• OccupationalExposureChemicals: Occupational exposure to harmful chemicals, where 0 indicates No and 1 indicates Yes.
• WaterQuality: Quality of water, where 0 indicates Good and 1 indicates Poor.
• MedicalCheckupsFrequency: Frequency of medical check-ups per year, ranging from 0 to 4.
• MedicationAdherence: Medication adherence score, ranging from 0 to 10.
• HealthLiteracy: Health literacy score, ranging from 0 to 10.
• Diagnosis: Diagnosis status for Diabetes (Target Variable), where 0 indicates No and 1 indicates Yes.
• DoctorInCharge: Associated doctor for the patient, noted as Confidential.

Distribution

Usage

• Exploring factors associated with diabetes and its progression.
• Developing predictive models to forecast diabetes diagnosis or risk.
• Conducting statistical analyses to identify significant correlations and trends in health data.
• Serving as a valuable resource for data science and machine learning projects focused on health outcomes.
• Gaining insights into demographic, lifestyle, medical, and environmental variables related to diabetes.

Coverage

License

Who Can Use It

• Researchers studying diabetes and related health conditions.
• Data scientists interested in medical data analysis and predictive modelling.
• Machine learning engineers developing algorithms for health diagnostics or risk assessment.
• Students and educators for academic projects and learning purposes in data science and healthcare analytics.

Dataset Name Suggestions

• Diabetes Patient Health Records
• Healthcare Diabetes Factors Data
• Patient Diabetes Analytics Dataset
• Synthetic Diabetes Outcome Data
• Diabetes Research Patient Profiles

Attributes