Novel tool for clinical decision support in early autoimmune disease diagnosis

A non-transitory computer readable medium that stores instructions for predictive diagnosis of a disease in a person, the non-transitory computer readable medium stores instruction that once executed by a computerized system cause the computerized system to:

• obtain, 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;
• apply 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;
• store the vector in a second data structure;
• obtain the vector by a classifier model hosted by a second processing circuit;
• apply, 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
• store 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 more authorized users.