Machine-learning image recognition for classifying conditions based on ventilatory data

Abstract

The technology relates to methods and systems for recognition of conditions from ventilation data. The methods may include acquiring ventilation data for ventilation of a patient during a time period; generating an image based on the acquired ventilation data; providing, as input into a trained machine learning model, the generated image, wherein the trained machine learning model was trained based on images having a same type as the generated image; and based on output from the trained machine learning model, generating a predicted condition of the patient. The image may be generated by storing ventilatory data as pixel channel values to generate a human-indecipherable image.