The objective of the project was to define, design and validate data mining algorithms that enable advanced or autonomous medical monitoring and diagnostics for astronauts, exploiting standard medical data available from health and sanitary structures.

S.A.T.E. proposed as two broad use cases the analysis of ECG and laboratory data, which are two of the most important medical exams used by physicians nowadays since the former can provide a great deal of information on the normal and pathological physiology of heart activity1 and the latter provides a broad range of diagnostic information to assess the status of the main organs (e.g. liver, kidney, blood, etc.) influencing more than 70% of health care decisions. Moreover, given their importance in standard medical practice, a significant amount of data related to general patients can be found, which are necessary to adopt a data driven approach as foreseen in this project. Finally, the analysis of the heart activity through the ECG and the analysis of blood and urine allow the diagnosis of the widest range of pathologies and diseases related to the possible in-flight scenarios.