• A machine learning strategy is proposed for predicting cardiac function based on peripheral pulse waves.

• Two high-quality datasets are created for health- and cardiovascular disease-subject groups.

• The model enables the prediction of three cardiac function parameters fast and accurately.

• The model is validated through consistency analysis and comparison with clinical measurements.

https://www.sciencedirect.com/science/article/abs/pii/S0169260722000499