System and method for using AI ML and telemedicine for cardio-oncologic rehabilitation via an electromechanical machine
A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a cardio-oncologic condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and a treatment apparatus configured for implementation of the treatment plan.
1. A computer-implemented system, comprising: one or more processing devices configured to
receive attribute data associated with a user,
generate, based on a cardio-oncologic condition of the user, a selected set ofthe attribute data,
determine, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and
generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability; and
based on the treatment plan, control an electromechanical machine by using one or more control instructions that modify one or more operating parameters of the electromechanical machine.
2. The computer-implemented system of claim 1 , wherein the attribute data includes data associated with a cardio-oncologic health of the user.
3. The computer-implemented system of claim 1 , wherein, to generate the selected set of the attribute data, the one or more processing devices are configured to generate the selected set of the attribute data based on risk factors shared between the cardio-oncologic condition and cardiovascular disease.
4. The computer-implemented system of claim 3 , wherein, to generate the selected set of the attribute data, the one or more processing devices are configured to generate the selected set of the attribute data further based on at least one of (i) a type of the cardio-oncologic condition, (ii) a location of the cardio-oncologic condition, (iii) respective types of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user, and (iv) respective locations of the at least one of the oncologic procedure and the cardio-oncologic treatment performed on the user.
5. The computer-implemented system of claim 1 , wherein, to generate the treatment plan, the one or more processing devices are configured to generate the treatment plan based on at least one of (i) risk factors shared between the cardio-oncologic condition and cardiovascular disease, (ii) a type of the cardio-oncologic condition, (iii) a location of the cardio-oncologic condition, (iv) respective types of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user, and (v) respective locations of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user.
6. The computer-implemented system of claim 1 , wherein the one or more processing devices are configured to execute an attribute data model, and wherein, to generate the selected set of the attribute data, the attribute model is configured to at least one of assign weights to the attribute data, rank the attribute data, and filter the attribute data.
7. The computer-implemented system of claim 6 , wherein the one or more processing devices are configured to execute a probability model, wherein the probability model is configured to determine the first probability.
8. The computer-implemented system of claim 6 , wherein the one or more processing devices are configured to execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to modify the first probability.
9. The computer-implemented system of claim 1 , wherein the one or more processing devices are further configured, based on the selected set of the attribute data, to generate a second probability that the user will be eligible for the at least one of a cardio-oncologic procedure and a cardio-oncologic treatment to be performed on the user.
10. The computer-implemented system of claim 9 , wherein the one or more processing devices are configured to at least one of (i) generate the treatment plan further to modify the second probability and (ii) generate a recommendation of whether the user should undergo the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment.
11. The computer-implemented system of claim 10 , wherein the one or more processing devices are configured, based on the recommendation, to modify the treatment plan.
12. The computer-implemented system of claim 11 , wherein the one or more processing devices are configured to transmit the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
13. The computer-implemented system of claim 1 , wherein, while the user performs the treatment plan, the one or more processing devices are configured to initiate a telemedicine session between a computing device of the user and a computing device of a healthcare professional.
14. A method, comprising:
using one or more processing devices,
receiving attribute data associated with a user,
generating, based on a cardio-oncologic condition of the user, a selected set of the attribute data,
determining, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and
generating, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability; and
based on the treatment plan, controlling an electromechanical machine by using one or more control instructions that modify one or more operating parameters of the electromechanical machine using a treatment apparatus, implementing the treatment plan.
15. The method of claim 14 , wherein the attribute data includes data associated with a cardio-oncologic health of the user.
16. The method of claim 14 , further comprising, using the one or more processing devices, generating the selected set of the attribute data based on risk factors shared between the cardio-oncologic condition and cardiovascular disease.
17. The method of claim 16 , further comprising, using the one or more processing devices, generating the selected set of the attribute data further based on at least one of (i) a type of the cardio-oncologic condition, (ii) a location of the cardio-oncologic condition, (iii) respective types of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user, and (iv) respective locations of the at least one of the oncologic procedure and the cardio-oncologic treatment performed on the user.
18. The method of claim 14 , further comprising, using the one or more processing devices, generating the treatment plan based on at least one of (i) risk factors shared between the cardio-oncologic condition and cardiovascular disease, (ii) a type of the cardio-oncologic condition, (iii) a location of the cardio-oncologic condition, (iv) respective types of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user, and (v) respective locations of the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment performed on the user.
19. The method of claim 14 , further comprising using the one or more processing devices to execute an attribute data model to generate the selected set of the attribute data, the attribute model being configured to at least one of assign weights to the attribute data, rank the attribute data, and filter the attribute data.
20. The method of claim 19 , further comprising, using the one or more processing devices, executing a probability model, wherein the probability model is configured to determine the first probability.
21. The method of claim 19 , further comprising, using the one or more processing devices are configured to execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to modify the first probability.
22. The method of claim 14 , further comprising, using the one or more processing devices and based on the selected set of the attribute data, generating a second probability that the user will be eligible for the at least one of a cardio-oncologic procedure and a cardio-oncologic treatment to be performed on the user.
23. The method of claim 22 , further comprising using the one or more processing devices to at least one of (i) generate the treatment plan further to modify the second probability and (ii) generate a recommendation of whether the user should undergo the at least one of the cardio-oncologic procedure and the cardio-oncologic treatment.
24. The method of claim 23 , further comprising, subsequent to implementing the treatment plan using the treatment apparatus and based on the recommendation, modifying the treatment plan.
25. The method of claim 24 , further comprising, using the one or more processing devices, transmitting the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
26. The method of claim 14 , further comprising, while the user performs the treatment plan, using the one or more processing devices to initiate a telemedicine session between a computing device of the user and a computing device of a healthcare professional.