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+<div class="sc-cmRAlD dkqmWS"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-jgvlka jFuPjz"><div class="sc-gzqKSP tNtjD"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><h2>Heart disease remains one of the leading causes of mortality worldwide. Accurate prediction of heart failure can significantly improve early intervention and patient care. This synthetic dataset is designed to support the development and evaluation of machine learning models for heart failure prediction.</h2>
+<h3>Dataset Description</h3>
+<h2>This dataset contains <strong>10,000 rows and 20 columns</strong>, representing patient health metrics and outcomes related to heart failure. The data has been synthetically generated to mimic real-world clinical scenarios, making it suitable for exploratory data analysis, predictive modeling, and algorithm testing.</h2>
+<h3>Column Descriptions</h3>
+<ol>
+<li><strong>Patient_ID:</strong> Unique identifier for each patient.  </li>
+<li><strong>Age:</strong> Age of the patient (in years).  </li>
+<li><strong>Gender:</strong> Male / Female.  </li>
+<li><strong>Smoking_Status:</strong> Smoker / Non-Smoker.  </li>
+<li><strong>Alcohol_Intake:</strong> Yes / No.  </li>
+<li><strong>Physical_Activity:</strong> Low / Moderate / High.  </li>
+<li><strong>Blood_Pressure:</strong> Systolic blood pressure (mm Hg).  </li>
+<li><strong>Cholesterol:</strong> Serum cholesterol level (mg/dL).  </li>
+<li><strong>Heart_Rate:</strong> Resting heart rate (beats per minute).  </li>
+<li><strong>Blood_Sugar:</strong> Blood glucose level (mg/dL).  </li>
+<li><strong>BMI:</strong> Body Mass Index (kg/m²).  </li>
+<li><strong>Family_History:</strong> Yes / No (Family history of heart disease).  </li>
+<li><strong>ECG_Result:</strong> Normal / Abnormal.  </li>
+<li><strong>Exercise_Induced_Angina:</strong> Yes / No.  </li>
+<li><strong>Previous_Heart_Attack:</strong> Yes / No.  </li>
+<li><strong>Diabetes:</strong> Yes / No.  </li>
+<li><strong>Chest_Pain_Type:</strong> Typical / Atypical / Non-anginal / Asymptomatic.  </li>
+<li><strong>Thalassemia:</strong> Normal / Fixed defect / Reversible defect.  </li>
+<li><strong>Hypertension:</strong> Yes / No.  </li>
+</ol>
+<h2>20. <strong>Heart_Failure:</strong> Yes / No (Target variable).  </h2>
+<h3>Applications</h3>
+<ol>
+<li><strong>Machine Learning Models:</strong> Train models to predict heart failure based on patient health metrics.  </li>
+<li><strong>Exploratory Data Analysis (EDA):</strong> Analyze relationships between features and outcomes.  </li>
+<li><strong>Medical Research:</strong> Understand the impact of various factors on heart failure risk.  </li>
+</ol>
+<h2>4. <strong>Educational Use:</strong> Practice building predictive models using health-related data.  </h2>
+<h3>Usage Guidelines</h3>
+<p>This synthetic dataset is created solely for educational and research purposes. It does not represent real patient data and should not be used for clinical decision-making.  <br>
+By sharing this dataset, we hope to encourage the development of innovative and accurate prediction models that can assist in managing and mitigating heart failure risks.</p></div></div></div>
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