Oxygen tank duration of use
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.
1. A computer-implemented method for determining a duration of use left in an oxygen tank, the method comprising:
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, wherein the one or more models are previously trained at least in part using training features extracted from training data of the user.
2. The method of claim 1 , further comprising:
notifying the user and one or more administrators of the duration of use left in the oxygen tank.
3. The method of claim 1 , further comprising:
notifying the user when the duration of use is lower than a threshold, wherein the threshold is determined based on a distance of the user and/or time of travel away from a new oxygen tank.
4. The method of claim 1 , wherein the one or more models correlate the one or more features with the likelihood of accurately determining a duration of use left in the oxygen tank.
5. The method of claim 1 , further comprising:
receiving feedback indicative of whether the duration of use left in the oxygen tank is accurate; and
adjusting the one or more models based on the received feedback.
6. The method of claim 1 , further comprising:
collecting the training data of the user, wherein the training data is collected from a source selected from the group consisting of: an upload from the user, input from the user, a database having information about the user, one or more sensors worn by the user, and one or more sensors for collecting data in a vicinity of the user;
extracting the training features from the training data; and
training the one or more models based on the extracted training features.
7. The method of claim 1 , wherein the one or more features include one or more features selected from the group consisting of: age, heart rate, blood pressure, blood oxygen level, nervousness, pain, depression, hunger, sweating, tank size, tank oxygen capacity, oxygen purity, date of tank changes, time of tank changes, breaks in usage, weather, seasons, and locations.
8. A computer program product for determining a duration of use left in an oxygen tank, the computer program product comprising:
one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media capable of performing a method, the method comprising:
collecting data of a user and corresponding oxygen tank;
extracting one or more features from the collected data;
determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models;
receiving feedback indicative of whether the duration of use left in the oxygen tank is accurate; and
adjusting the one or more models based on the received feedback.
9. The computer program product of claim 8 , further comprising:
notifying the user and one or more administrators of the duration of use left in the oxygen tank.
10. The computer program product of claim 8 , further comprising:
notifying the user when the duration of use is lower than a threshold, wherein the threshold is determined based on a distance of the user and/or time of travel away from a new oxygen tank.
11. The computer program product of claim 8 , wherein the one or more models correlate the one or more features with the likelihood of accurately determining a duration of use left in the oxygen tank.
12. The computer program product of claim 8 , wherein the feedback indicative of whether the duration of use left in the oxygen tank is accurate is received from the user and/or is based on user activity; and comprising adjusting the one or more models based on the feedback.
13. The computer program product of claim 8 , further comprising:
collecting training data;
extracting training features from the training data; and
training the one or more models based on the extracted training features.
14. The computer program product of claim 8 , wherein the one or more features include one or more features selected from the group consisting of: age, heart rate, blood pressure, blood oxygen level, nervousness, pain, depression, hunger, sweating, tank size, tank oxygen capacity, oxygen purity, date of tank changes, time of tank changes, breaks in usage, weather, seasons, and locations.
15. A computer system for determining a duration of use left in an oxygen tank, the computer system comprising:
one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors capable of performing a method, the method comprising:
collecting data of a user and corresponding oxygen tank;
extracting one or more features from the collected data;
determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models; and
notifying the user when the duration of use is lower than a threshold, wherein the threshold is determined based at least in part on a location of the user.
16. The computer system of claim 15 , further comprising:
notifying the user and one or more administrators of the duration of use left in the oxygen tank.
17. The computer system of claim 15 , further comprising:
wherein the threshold is determined based on a distance of the user and/or time of travel away from a new oxygen tank.
18. The computer system of claim 15 , wherein the one or more models correlate the one or more features with the likelihood of accurately determining a duration of use left in the oxygen tank.
19. The computer system of claim 15 , further comprising:
receiving feedback indicative of whether the duration of use left in the oxygen tank is accurate; and
adjusting the one or more models based on the received feedback.
20. The computer system of claim 15 , further comprising:
collecting training data;
extracting training features from the training data; and
training the one or more models based on the extracted training features.