In this third scheme, we present the second form related to the first, showing the complexity of integrating concepts at the beginning of knowledge modeling. The symptoms in the maps are associated with a network of connections in which the nodes are concepts, with a consensual meaning, for medical diagnosis. The proposal is precisely to establish the relationship between symptoms that represent the behavioral logic of this reasoning. Interaction with the doctor during the diagnostic process makes it possible to identify the most relevant paths within the defined hypotheses. Each next step taken has the function of presenting all relevant information about the patient and diagnostic possibilities, always seeking to associate the patient, through the execution of a graph algorithm, with a type of diagnosis at the end of the interactive process.

The importance of culture related to data science is observed here, for the creation of a healthy technological environment that provides the basis for supporting diagnosis. Part of the energy in the care process must be directed not only to identifying what is affecting the patient but also to ensuring the integrity of the information entered into the knowledge base. Since this will be the base that will assist with upcoming diagnoses and will also monitor patients remotely. This enhances service, through intelligent agents that will be constantly observing all patients at all times. In this context, it is not the patient who goes to see the doctor, it is the doctor who goes to see the patient.

If there is a need, the patient is called for a face-to-face consultation. A fact that completely changes the process. The benefits of reaching this level of diagnostic maturity are immeasurable from the point of view of the quality of life of patients who are not even affected by the diseases. The diagnosis becomes focused on the physiology itself. See that people pay for the knowledge of the specialist who will always monitor their health and thus prevent illness. If there is a need, then the patient enters the flow of knowledge defined for each institution, together with its clinical staff.

The proposal to focus on information ownership brings the benefit of an autonomous system, without the need for an implementation process. Each person installs the super app on their cell phone (patient.health.eco.br) and saves their data in the cloud computing new. eco. br. The account could be your records or those of related people, parents could have their children's records and doctors could have their patients' records. Based on this, the new eco intelligence model was built, which will be aimed at both the collection of anamnesis information and the analysis of system data to aid efficient diagnosis and also the comparison of similar groups to prevent disease in patients.