Abstract: A method for predictive diagnosis of a disease in a person, the method includes (i) obtaining, by a machine learning process hosted by a first processing circuit, a health related data of the person that is stored in a first data structure; (ii) applying by the first processing circuit, the machine learning process, on the health related data to convert the health related data into a vector that provides a compact representation of the health related data, the vector comprises disease predicting information of the health related data; (iii) storing the vector in a second data structure; (iii) obtaining the vector by a classifier model hosted by a second processing circuit; (iv) applying, by the second processing circuit, the classifier model to the vector to identify whether there is a likelihood of the person having or developing the disease; and (v) storing an outcome of the applying of the classifier model in a third data structure; wherein the storing of the outcome makes available the outcome to one or m