<p><span style="color: #505050;" data-ke-size="size18">The dataset comprises 250,000 records and includes information on various health-related factors and conditions, designed to facilitate diabetes prediction and analysis. The dataset includes the following features: 1. Diabetes_012: A categorical variable indicating the presence of diabetes, with possible values of 0 (no diabetes), 1 (pre-diabetes), or 2 (diabetes). 2. HighBP: A binary indicator of whether the individual has high blood pressure. 3. HighChol: A binary indicator of whether the individual has high cholesterol. 4. CholCheck: A binary variable denoting whether the individual has had a cholesterol check in the past year. 5. BMI: The body mass index of the individual, a continuous variable used to categorize weight status. 6. Smoker: A binary indicator showing if the individual is a smoker. 7. Stroke:A binary variable indicating whether the individual has experienced a stroke. 8. HeartDiseaseorAttack: A binary indicator for the presence of heart disease or a heart attack. 9. PhysActivity:A binary variable showing whether the individual engages in physical activity. 10. HvyAlcoholConsump:A binary indicator of heavy alcohol consumption. 11. AnyHealthcare: A binary variable indicating whether the individual has access to any form of healthcare. 12. NoDocbcCost: A binary indicator of whether the individual did not visit a doctor due to cost concerns. 13. GenHlth: A categorical variable representing the individual's general health status, ranging from excellent to poor. 14. MentHlth: A continuous variable indicating the number of days in the past month the individual experienced poor mental health. 15. Sex: The gender of the individual. 16. Age: The age of the individual. 17. Income:The individual's income level, categorized into brackets. 18. Diabetes_binary:A binary outcome variable indicating the presence or absence of diabetes (1 for diabetes, 0 for no diabetes). This dataset is intended for research and analysis in the field of health and diabetes prediction. It provides a comprehensive view of various health indicators and conditions, making it suitable for developing predictive models and understanding the relationship between diabetes and other health factors.</span></p><p> </p><p>Source: <a href="https://data.mendeley.com/datasets/d5dtz46xcz/1" target="_blank" class="ke-link">https://data.mendeley.com/datasets/d5dtz46xcz/1</a></p><div class="figure-open" contenteditable="false" data-ke-type="opengraph" data-ke-align="alignCenter" data-og-type="website" data-og-title="Diabetes" data-og-description="Here's a concise description for your dataset that fits within the 3000-character limit: --- The dataset comprises 250,000 records and includes information on various health-related factors and conditions, designed to facilitate diabetes prediction and ana" data-og-host="data.mendeley.com" data-og-source-url="https://data.mendeley.com/datasets/d5dtz46xcz/1" data-og-url="https://data.mendeley.com/datasets/d5dtz46xcz/1" data-og-image="//img1.kakaocdn.net/thumb/C200x200/?fname=https%3A%2F%2Ft1.daumcdn.net%2Fcafe_image%2Fcafe_meta_image_190529.png"><a href="https://data.mendeley.com/datasets/d5dtz46xcz/1" target="_blank" data-source-url="https://data.mendeley.com/datasets/d5dtz46xcz/1"><div class="og-image"><img class="thumb_img" src="//img1.kakaocdn.net/thumb/C200x200/?fname=https%3A%2F%2Ft1.daumcdn.net%2Fcafe_image%2Fcafe_meta_image_190529.png" alt="" xxonerror="this.src="//img1.kakaocdn.net/thumb/C200x200/?fname=https%3A%2F%2Ft1.daumcdn.net%2Fcafe_image%2Fcafe_meta_image_190529.png""></div><div class="og-text"><p class="og-title">Diabetes</p><p class="og-desc">Here's a concise description for your dataset that fits within the 3000-character limit: --- The dataset comprises 250,000 records and includes information on various health-related factors and conditions, designed to facilitate diabetes prediction and ana</p><p class="og-host">data.mendeley.com</p></div></a></div><p> </p><div class="figure-file" data-ke-type="file" data-file-src="https://t1.daumcdn.net/cafeattach/1YHyS/663c963cabded92e94e15787a3a2ecf649e27aeb?download" data-file-name="Diabetes.zip" data-file-size="1554694" data-mimetype="application/x-zip-compressed" data-ke-align="alignCenter"><a href="javascript:checkVirus('grpid%3D1YHyS%26fldid%3Dt0vn%26dataid%3D36%26fileid%3D1%26regdt%3D20251119233943&url=https%3A%2F%2Ft1.daumcdn.net%2Fcafeattach%2F1YHyS%2F663c963cabded92e94e15787a3a2ecf649e27aeb')"><div class="image"></div><div class="desc"><div class="filename"><span class="name">Diabetes</span><span class="type">.zip</span></div><div class="size">1.48MB</div></div></a></div><div class="figure-file" data-ke-type="file" data-file-src="https://t1.daumcdn.net/cafeattach/1YHyS/fdae808a4277a1565da532e3a9c392dd4590b312?download" data-file-name="Diabetes.csv.csv" data-file-size="9625841" data-mimetype="text/csv" data-ke-align="alignCenter"><a href="javascript:checkVirus('grpid%3D1YHyS%26fldid%3Dt0vn%26dataid%3D36%26fileid%3D2%26regdt%3D20251119233943&url=https%3A%2F%2Ft1.daumcdn.net%2Fcafeattach%2F1YHyS%2Ffdae808a4277a1565da532e3a9c392dd4590b312')"><div class="image"></div><div class="desc"><div class="filename"><span class="name">Diabetes.csv</span><span class="type">.csv</span></div><div class="size">9.18MB</div></div></a></div>
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