carlospgraciano / se-diagnostico-covid

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SE-Diagnostico-Covid

This is a homework of an Artificial Intelligence course where I developed a Expert System using CLIPS by defining rules.

The goal of the homework was to create rules that will help us diagnose COVID-19 on a person.

The rules of the expert systems depends on the following categories:

  • Profession: Could be a Nurse, Secretary or Remote Student. The idea is that the profession can determine the level of exposure to the COVID-19.
  • Level of exposure: Could be High, Medium or Low. The idea is that the level of exposure to the virus can dramatically impact your possibility of being infected.
  • Fever: Could be High, Medium or Low. The fever is a defining symptom and we divided it at: High (more than 38 degrees), Medium (Below 38 degrees), Low (No fever).
  • Cough: Could be Normal or Dry. The dry tough is the worst case scenarios since it's one of the most defining symptoms.
  • Type of mask: Could be KN-95, Surgical or Cloth. The mask a person wears tells us the level of protection they may have against the virus.

My name is Carlos Abel Polanco Graciano and I'm a software developer but also a student of Universidad Iberoamericana (UNIBE).

Note: The content of the files were made on Spanish.