Prediction of acute respiratory disease syndrome (ards) based on patients' physiological responses

A non-transitory computer readable medium that includes a program that, when executed by a processor, causes the processor to:

• receive a plurality of diagnostic models for predicting Acute Respiratory Distress Syndrome (ARDS), each diagnostic model being configured to receive a corresponding set of input features and to produce therefrom a prediction of an onset of ARDS;
• for each of the diagnostic models:
• provide a time series of physiological data of each patient of a plurality of prior patients, an identification of whether the patient experienced ARDS, and a time of ARDS onset for each patient that experienced ARDS;
• the physiological data corresponding to each of the input features to the diagnostic model;
• determine a Receiver Operating Characteristic (ROC) curve and an area under the ROC curve (AUROC) that characterizes the diagnostic model's ability to correctly identify whether a patient will experience ARDS or not;
• for each input feature of the diagnostic model:
• determine a rank order of the input feature based on at least the input feature's impact on the ROC curve;
• select a subset of the input features based on the rank order of the input features;
• and
• if the subset includes fewer than a total number of the input features of the diagnostic model:
• create a revised diagnostic model that uses only the subset of the input features;
• and
• store the revised diagnostic model as the diagnostic model to be subsequently used to predict an onset of ARDS by an other patient;
• wherein the subset of at least one diagnostic model includes fewer than a total number of the input features of the diagnostic model.