ClassifyIT : A Novel Classification Pipeline Using IPANN for Predicting Onset of Cardiovascular Diseases

Key Points

• Predicting onset of cardiovascular diseases was enhanced using a novel classification pipeline.
• The classification pipeline demonstrated an accuracy of over 85% in predictions.
• Using a machine learning framework, the method applies advanced algorithms to patient data.
• This approach highlights the potential for early warnings in cardiovascular health monitoring.