This is an open-source(.NET CORE, Access control will be SpringBoot API, AI, Mongodb) initiative for a reference book about pandemic's symptoms into some success cases. Into this system the doctors will digite his patient scenarios, and them the system will make a reference list from activities used by recovered patients, who should be similars the sick patients.
We expect pass an information about everything that was made for recover that sick patients and them give a those parameters for doctors.
The main idea is to insert healthy success case-patient and its factors after the system will treat this data using machine learnings to match with more near inputted scenarios system will gonna display the top 10 cases mostly near the case input: Important information displayed is :
Used medicines Uses case Arterial pressure of patients Patient Temperature of patients Breath of patients The time that patient was in intensive treatments Unity (UTI for Brazil) Age of patients Weight of patients Height of patients Status of patients All activities about that patient rotines ( Gym, sports, normal eating food, medicine that he or she have been used frequently and how is his or her routines) and some other fields required by Healthy doctors (Stakeholders)
Talking about folders:
- Docs folder we will have architectures diagrams
- Compass-19 is for codes project
Our intention is help with those informations. Please if you can, help us to help somebody!
This project is using microservices three tier layer and docker. the main idea is to have a hub API to connect another app client-sides (mobile, pwa, desktops, web and external softwares)