short term average 7 days to a long term average 30 days the same variable may be separately firstly smoothed and secondly derived resulting in two different transformed data from the same variable but represented in two different methods thus for a given patient hereafter u201c current patient u201d a database is formed block 106 of temporal series of variously transformed or raw clinical state data obtained from the processing by the block 104 this data is then analyzed by a classifier 108 operating under the control of a decision tree 110 as that described above in example with fig1 this classifier uses the decision tree 110 recorded in the implant to distribute the latest data processed in the u201c alert u201d or u201c no alert u201d classes block 112 the successive alerts or u201c no alert u201d signals and the matching temporal data may be transmitted at regular intervals e g every day such signals and matching data may be subsequently analyzed block 200 by a doctor who oversees the patient in other words daily data history and the classifier 39 s output that is stored in the implant may be transmitted to a physician 39 s system in order to detect the presence or absence of deleterious events ae the purpose at this stage is to make a supervised classification in other words the physician can.