 Doctors, submitted to a strong health care and legal pressure, are conscious of the value that new technologies can supply if these same technologies offer clear benefits in their protocols of work and do not involve a great impact in them.The automation of the management of the clinical histories means a necessary but not sufficient advance. The effective Modelization of Pathologies of dLife offers the doctors the possibility of exploiting analytically and with a higher level of depth all that information. An innovative paradigm In most cases, every specialist has a limited number of patients and with a very high number of variables per patient. A component of additional difficulty is that the clinical histories are not complete (missing data), in the sense that they only reflect the relevant information in every moment and no doctor asks the same questions. dLife overcomes the above mentioned barriers since it includes an innovative paradigm that allows, quickly and without need of mathematical deep knowledge, to create mathematical models of pathologies based on the clinical histories. These models offer a high level of precision even when the number of patients is low and the information of each patient is incomplete, a usual scene, by the way. It works with levels of uncertainty Modelling data in an automatic way involves a certain risk, principally determined by the level of uncertainty about those same data. dLife makes possible to incorporate into its process of modelization the knowledge of the specialists, based on their own experience, this one becoming modelled complementing what the existing data from the clinical histories indicate. And with incomplete data, as well Data from the clinical histories, normally, are incomplete for several reasons. Mainly because every patient is in itself different of one another and therefore it is approached in a different manner. This does not mean any problem for dLife since it supports its level of predictive precision even in those scenes where every doctor has informed the relevant variables for that patient. In addition, dLife offers the possibility of completing the above mentioned information depending on the rest of data. ............................................................................................................................................................................................ |