Abstract: The present system is configured to provide patient information as input to a prediction model to train the prediction model for generating predictions related to a need for clinical intervention for individual patients. The system is configured to receive vital signs information for one or more vital signs of an individual. The system is configured to process, via the trained prediction model, the vital signs information to generate (i) a first prediction related a clinical intervention need for the individual, (ii) sub-predictions contributing the first prediction or to at least another one of the sub-predictions, and (iii) relatedness information indicating how the first prediction and the contributing sub-predictions are related, the contributing sub-predictions corresponding to respective ones of the weighted predictive parameter features. The system is configured to cause a presentation related to a clinical intervention need for the individual based on the output of the model.