Abstract: A computer system for controlling access to medical resources, the system comprising at least one processor configured to: provide at least one trained machine learning model which has been trained on a training data set comprising healthcare event associated data, the at least one trained machine learning model having an input for receiving at least one operating data set associated with a particular healthcare event and an output for generating at least one value associated with the particular healthcare event; provide the at least one operating data set to the trained model and to receive the at least one value; and in dependence upon the at least one value, generate an indication of an assignment of medical resources for a patient associated with the event.

Abstract: A computer system for generating a quantitative value relating to a negative health outcome, the computer system comprising: a conversion module configured to receive multiple sets of data items associated with patients and each comprising a descriptor and the time at which that event impacted the patient. The conversion module generates a training data structure which comprises for each patient an array of selected features, each selected feature associated with a numerical value representing a score indicative of the relevance of that feature to the prediction of the negative health outcome, and a label indicating if the patient exhibits the negative health outcome; and a machine learning model which is trained using the training data structure so as to be operable to generate a quantitative value relating to a negative health outcome for a patient with at least some of the features.

Abstract: A computer system for controlling access to medical resources, the system comprising at least one processor configured to: provide at least one trained machine learning model which has been trained on a training data set comprising healthcare event associated data, the at least one trained machine learning model having an input for receiving at least one operating data set associated with a particular healthcare event and an output for generating at least one value associated with the particular healthcare event; provide the at least one operating data set to the trained model and to receive the at least one value; and in dependence upon the at least one value, generate an indication of an assignment of medical resources for a patient associated with the event.

Abstract: A computer system for generating a quantitative value relating to a negative health outcome, the computer system comprising: a conversion module configured to receive multiple sets of data items associated with patients and each comprising a descriptor and the time at which that event impacted the patient. The conversion module generates a training data structure which comprises for each patient an array of selected features, each selected feature associated with a numerical value representing a score indicative of the relevance of that feature to the prediction of the negative health outcome, and a label indicating if the patient exhibits the negative health outcome; and a machine learning model which is trained using the training data structure so as to be operable to generate a quantitative value relating to a negative health outcome for a patient with at least some of the features.