SYSTEM AND METHOD FOR GENERATING CARDIOVASCULAR HEALTH PROGRAMS

1 . A system for generating cardiovascular health programs, the system comprising:

a computing device, the computing device configured to:

receive at least a cardiovascular sample relating to a user;

receive a plurality of physical activities;

generate at least a cardiovascular parameter as a function of the at least a cardiovascular sample;

determine a cardiovascular profile as a function of the at least a cardiovascular parameter and at least a cardiovascular deficiency, wherein:

the at least a cardiovascular deficiency is compared to a cardiovascular threshold;

the cardiovascular profile includes a numerical cardiovascular health score correlated to the at least a cardiovascular parameter; and

the cardiovascular profile comprises an atherosclerosis indicator correlated to the at least a cardiovascular parameter, wherein the atherosclerosis indicator includes a location in a user's body wherein a vein or artery is accumulating plaque buildup;

generate a lifestyle program as a function of the cardiovascular profile, wherein generating the lifestyle program comprises:

correlating at least a physical activity from the plurality of physical activities to the at least a cardiovascular parameter; and

assigning the at least a physical activity to the user as a function of the correlation.

2 . The system of claim 1 , wherein generating the lifestyle program comprises receiving a user choice regarding an activity.

3 . The system of claim 1 , wherein computing device is further configured to generate the lifestyle program using a lifestyle program classifier.

4 . The system of claim 3 , wherein the computing device is further to train a classification machine learning model using a lifestyle training set.

5 . The system of claim 4 , wherein the lifestyle training set comprises previous iterations classification machine learning model.

6 . The system of claim 1 , wherein the computing device is further configured to calculate the numerical cardiovascular health score, wherein calculating the numerical cardiovascular health score comprises:

assigning a first numerical score to the at least a cardiovascular parameter as a function of the cardiovascular threshold;

assigning a second numerical score to at least a physical activity associated with the at least a cardiovascular parameter; and

calculating the numerical cardiovascular score as a function of the second numerical score and the first numerical score.

7 . The system of claim 6 , wherein the computing device is further configured to minimize the numerical cardiovascular score as a function of the at least a physical activity from the plurality of physical activities.

8 . The system of claim 1 , wherein generating the lifestyle program comprises generating an activity adherence score.

9 . The system of claim 8 , wherein the computing device is further configured to modify the activity adherence score.

10 . The system of claim 9 , wherein the computing device is further configured to modify the lifestyle program as a function of the activity adherence score.

11 . A method for generating cardiovascular health programs, the method comprising:

receiving, by a computing device, at least a cardiovascular disease sample relating to a user;

receiving, by the computing device, a user preference;

generating, by the computing device, at least a cardiovascular parameter as a function of the cardiovascular sample;

determining, by the computing device, a cardiovascular profile as a function of the at least a cardiovascular parameter and at least a cardiovascular deficiency;

wherein the at least a cardiovascular deficiency is compared to a cardiovascular threshold, wherein the cardiovascular profile comprises a numerical cardiovascular health score correlated to the at least a cardiovascular parameter;

wherein the cardiovascular profile comprises an atherosclerosis indicator correlated to the at least a cardiovascular parameter, wherein the atherosclerosis indicator includes a location in a user's body wherein a vein or artery is accumulating plaque buildup; and

generating, by the computing device, a lifestyle program as a function of the cardiovascular profile, wherein generating the lifestyle program comprises:

correlating at least a physical activity from the plurality of physical activities to the at least a cardiovascular parameter; and

assigning the at least a physical activity to the user as a function of the correlation.

12 . The method of claim 11 , wherein generating the lifestyle program comprises receiving a user choice regarding an activity.

13 . The method of claim 11 , wherein the method further comprises generating the lifestyle program using a lifestyle program classifier.

14 . The method of claim 13 , wherein the method further comprises training a classification machine learning model using a lifestyle training set.

15 . The method of claim 14 , wherein the lifestyle training set comprises previous iterations classification machine learning model.

16 . The method of claim 11 , wherein the method further comprises calculating the numerical cardiovascular health score, wherein calculating the numerical health score comprises:

assigning a first numerical score to the at least a cardiovascular parameter as a function of the cardiovascular threshold;

assigning a second numerical score to at least a physical activity associated with the at least a cardiovascular parameter; and

calculating the numerical cardiovascular score as a function of the second numerical score and the first numerical score.

17 . The method of claim 16 , wherein the method further comprises minimizing the numerical cardiovascular health score as a function of the at least a physical activity from the plurality of physical activities.

18 . The method of claim 11 , wherein generating the lifestyle program comprises generating an activity adherence score.

19 . The method of claim 18 , wherein the method further comprises modifying the activity adherence score.

20 . The method of claim 19 , wherein the method further comprises modifying the lifestyle program as a function of the activity adherence score.