Abstract: We propose a machine learning model capable of predicting COVID-19 post-acute rehabilitation duration by means of data taken before the start of the rehabilitative path. Data from 62 ...

Data preprocessing (Min-Max normalization, lag features) Parameter optimization (Grid Search + Cross Validation) Model training using RBF kernel Evaluation (MSE, RMSE, MAE) Future prediction (one-step ...