Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Abstract: Detection and monitoring of health conditions that are accompanied by an injury site includes receiving, by one or more processors, an identifier associated with a patient and an associated first image, the first image corresponding to an injury in the injury site. The one or more processors analyze the associated first image using a machine learning model that includes an inference engine and a knowledge base. The machine learning model compares the associated first image against a patient data history and a tracking database. In response to a determination the injury site is associated with the health condition, the one or more processors generate a first result including sending a report containing the first result to a healthcare professional caring for the patient and display the first result informing the patient and healthcare professional the injury needs special care including requiring an appointment.