System and method for generating a cardiovascular disease nourishment program

A method for generating a cardiovascular disease nourishment program, the method comprising:

• receiving, by a computing device at least a cardiovascular disease sample relating to a user;
• 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;
• identifying, by the computing device, at least a nutrition element as a function of the cardiovascular profile, wherein identifying comprises:
• obtaining at least a nutrient composition correlated to at least a nutrition element;
• determining a nourishment score as a function of the effect of the nutrition element on the cardiovascular profile;
• and
• identifying the at least a nutrition element as a function of the nourishment score, and nutrition element machine-learning model, wherein identifying the at least a nutrition element further comprises:
• training the nutrition element machine-learning model using a nutrition element training set, received as a function of user entered valuations of nourishment compositions, nourishment deficiencies, and nutrition elements and previously determined correlations of nourishment compositions and nourishment deficiencies, correlating the at least a nourishment composition and nourishment deficiency to a nutrition element, and wherein the nutrition element machine-learning model inputs nourishment compositions and nourishment deficiencies and outputs a nutrition element;
• and
• generating, by the computing device, a cardiovascular disease nourishment program as a function of the nourishment score, at least a classification machine-learning process, and the cardiovascular profile, wherein generating the cardiovascular disease nourishment program:
• training the at least a classification machine-learning process as a function of a nourishment training set and wherein the cardiovascular disease nourishment program includes the cardiovascular health score and the atherosclerosis indicator.