An index of topology is a numerical value. Utilizing a chemical substance’s molecular structure, we can theoretically derive the attributes of a graph and determine its topology. Myocardial infarctions, commonly referred to as heart attacks, are exceedingly common worldwide. In this paper, we are going to investigate and analyze the chemical structures of anti-heart attack drugs and compare correlation coefficients derived from a linear regression analysis by using cordial label-based topological indices by QSPR model. In this, the data analysis of several properties such as boiling point, flash point, enthalpy, molar refraction, molar volume, and surface tension indicates a strong correlation with topological indices, indicating the significance of all computations. Additionally, a comparison of topological indices based on cordial labelling with those derived from a degree-based approach is provided. Furthermore, exponential, and logarithmic regression models are presented for reference