We have presented the Terap-IA knowledge-based system. The
application takes into account the findings of the patient, knowledge
about antibiotics and the diagnosis to find the best treatment. We
also have introduced
Milord II as an appropriate tool and language to develop knowledge-based
systems
.
The expert has developed a partial validation of the system contrasting real world cases of antibiotic treatment of pneumonia with the answers of Terap-IA. The treatment for each previous diagnosis has been verified separately, producing hopeful results.
The final validation will be made by giving fifty real world cases of pneumonia to four human experts and Terap-IA, and comparing the results.