Method and system for classifying sample data for robotically extracted samples
A method of classifying sample data for robotically extracted samples is disclosed. A specimen is received from a human subject with a potential infection of a first disease agents or a plurality of disease agents. The specimen includes genetic material collected from a human subject using a collection device and stored in a collection carrier. The specimen includes a unique identifier on the collection carrier. The unique identifier contains human subject descriptive data. The method classifies the human subject descriptive data to identify a second disease agent. The method extracts a sequence of genetic material from the specimen using an automated robot. The method determines a test result for the first disease agent as a function of the sequence of genetic material. A system comprising a computer device configured to classify sample data for robotically extracted samples is also disclosed.
1. A method of classifying sample data for robotically extracted samples, the method comprising:
receiving data related to a specimen from a human subject with a potential infection of a first disease agent, wherein the specimen comprises:
genetic material collected from the human subject using a collection device and stored in a collection carrier; and
a unique identifier on the collection carrier;
retrieving, by a computing device, human subject descriptive data from an optical scanning device as a function of the unique identifier;
classifying, at the computing device, the human subject descriptive data to identify a second disease agent, wherein classifying further comprises:
generating a classifier using a first machine-learning process as a function of human subject descriptive training data, wherein the human subject descriptive training data correlates human subject descriptive data with a second disease agent; and
generating the identity of the second disease agent as a function of the descriptive data and the classifier;
processing, by the computing device, a sequence of genetic material from the specimen prepared by an automated robot; and
obtaining, by the computing device, a test result determined by an analysis device for the first disease agent as a function of the sequence of genetic material.
2. The method of claim 1 , wherein the collection device comprises:
a swab; and
a transfer medium, wherein the swab is dipped in the transfer medium.
3. The method of claim 1 , wherein the collection device comprises blotting paper.
4. The method of claim 1 , wherein the first disease agent further comprises a coronavirus.
5. The method of claim 1 , further comprising determining a human subject contact profile,
wherein determining the human subject contact profile further comprises:
prompting a human subject for human subject intake data;
receiving human subject intake data as a function of the prompting;
generating a second machine learning process as a function of contact training data, wherein the contact training data correlates intake data elements with a human subject contact profile elements; and
determining the human subject contact profile as a function of the intake data and the second machine-learning process.
6. The method of claim 1 , wherein processing a sequence of genetic material from the specimen comprises:
aggregating, by the automated robot, a plurality of human subject specimens from a plurality of human subject specimen into a single extraction.
7. The method of claim 1 , wherein retrieving the human subject descriptive data further comprises:
performing, by the computing device, a textual conversation with the user, the textual conversation including transmitting to a user client device a plurality of potential user symptoms; and
receiving, at the computing device, a user selection of a potential user symptom from the plurality of user symptoms.
8. The method of claim 1 , wherein the test result further comprises a positive test result, and
further comprising:
establishing communication including an authorized human subject contact, by the computer device, as a function of the positive test result; and
initiating a conferencing event with the authorized contact.
9. The method of claim 1 , wherein the second disease agent is identical to the first disease agent.
10. The method of claim 1 further comprising:
determining, by the computing device, a presence of the first disease agent and the second disease agent in the specimen, wherein the first disease agent has a different identity from the second disease agent; and
generating, by the computing device a recommendation for the human subject, based on the determination.
11. A system of classifying sample data for robotically extracted samples, the system comprising a computing device configured to:
receive data related to a specimen from a human subject with a potential infection of a first disease agent, wherein the specimen comprises:
genetic material collected from the human subject using a collection device and stored in a collection carrier; and
a unique identifier on the collection carrier;
retrieve human subject descriptive data from an optical scanning device as a function of the unique identifier;
classify the human subject descriptive data to identify a second disease agent, wherein classifying further comprises, further comprising:
generate a classifier using a first machine-learning process as a function of human subject descriptive training data, wherein the human subject descriptive training data correlates human subject descriptive data with a second disease agent; and
generate the identity of the second disease agent as a function of the descriptive data and the classifier;
process a sequence of genetic material from the specimen prepared using an automated robot; and
obtain a test result determined using an analysis device for the first disease agent as a function of the sequence of genetic material.
12. The system of claim 11 , wherein the collection device comprises a swab; and
a transfer medium, wherein the swab is dipped in the transfer medium.
13. The system of claim 11 , wherein the collection device comprises blotting paper.
14. The system of claim 11 , wherein the first disease agent further comprises a coronavirus.
15. The system of claim 11 , wherein the computing device is further configured to:
prompt a human subject for intake data; and
generate a second machine learning process as a function of the intake data, wherein the second machine-learning process uses intake data as an input and outputs a human subject contact profile.
16. The system of claim 11 , wherein the computer device is further configured to process a sequence of genetic material from the specimen aggregated from a plurality of human specimens into a single extraction by the automated robot.
17. The system of claim 11 , wherein the computing device is further configured to:
perform a textual conversation with the user, the textual conversation including transmitting to the computing device, a plurality of potential user symptoms and receiving a human subject selection of a potential user symptom from the plurality of user symptoms; and
receive a user selection of a potential user symptom form the plurality of user symptoms.
18. The system of 11 , wherein the test result further comprises a positive test result, the computing device further configured to:
notify an authorized human subject contact of a positive test result; and
initiate a conferencing event with the authorized contact.
19. The system of claim 11 , wherein the second disease agent is identical to the first disease agent.
20. The system of claim 11 , wherein the computing device is further configured to:
determine a presence of the first disease agent and the second disease agent in the specimen, wherein the first disease agent has a different identity from the second disease agent; and
generate a recommendation for the human subject based on the determination.