Joint processing of six types of indirect diagnostics of patients would allow us to determine biomarkers, which are associated with Alzheimer's disease, which is a classic task of “Big Data" processing. To obtain valid results, all fields must be completed to perform statistical analysis to avoid misdiagnosis. But medical history data refer to personal data, and information on such diseases can be very sensitive, so their processing should be as closed as possible for external actors and carried out in an isolated protected environment.