Today there is a growing interest towards the adoption of novel technology in the field of medical monitoring and personal health care systems in general. In this paper we present algorithms that generate recommendations and suggestions for preventive intervention instead of emergency
care and hospital admissions, used in the model of the collaborative health care system (Cohesy). Use of data sets from the health and physical activities history of users can be very important for improving the health of users because the history of the diagnoses can detect which physical activities contributed to the improvement of the health of the user. Step further, we use these data sets to generate recommendation for activity in cases where the user health has deteriorated
