health e2 us

us.health.eco.br The focus of the Synthesis is to support medical diagnosis, transforming each interaction with the patient into knowledge, a fundamental basis for building a new culture related to AI applied to Digital Health. Should telemedicine be considered video conferencing patient care? Or reversing the telemedicine process: face-to-face service, after processing the knowledge base algorithms! A medical diagnosis support system must be able to store part of the knowledge applied to medical diagnosis. The possibility of telemedicine with the support of GDS (Graph Data Science) algorithms allows the development of a health.eco.br Super App to assist in the doctor's diagnosis and/or maintenance of your health. Organization of the Patient's visual system: SYMPTOMS; ILLNESSES; HEALTH; EMERGENCY; FOOD; SUPPLEMENTS; CONTENT; DIAGNOSIS; RECORD; SERVICE; TREATMENT. Universe of Concepts: PATIENT; DOCTOR; and PHYSIOLOGICAL. Abstraction levels: GENERIC (GROUPS); SPECIFIC (SUBGROUPS); and CUSTOM (ELEMENTS). Hubs: HEALTH and ILLNESS.Specialized content: in many cases, it is organized specifically for each content into topics that establish specific relationships at the base; in other cases, it presents a more specific structure (Etiology [origin and cause]; Pathophysiology; Signs and symptoms; Diagnosis; Treatment; Key points). The most standardized content: has a pre-defined structural model: (example below) summary/description; Causes; Symptoms; Diagnosis; Treatment; and Additional Information. Symptom groups are an important connection that ends up being the definition of the symptom itself, and the symptom itself is just a correlation of this defining group with a location and/or associated with other elements intensity, qualifier, location, viral type, bacterial type, etc). Disease groups are another important link that ends up being the very definition of the disease, with the disease itself being just a correlation of this group with a location and/or associated with other elements (Viruses, etc).