DESIGN AND IMPLEMENTATION OF AN EXPERT SYSTEM FOR MEDICAL DIAGNOSIS AND PRESCRIPTION.
DOI:
https://doi.org/10.60787/tnamp.v20.380Keywords:
Expert System, Medical Diagnosis, Artificial Intelligence, Knowledge Representation and PrescriptionAbstract
This abstract presents the design and implementation of a sophisticated expert system tailored to the medical domain. Leveraging the power of artificial intelligence and knowledge representation techniques, the system emulates the decision-making prowess of experienced medical professionals. The proposed system encompasses a well-structured knowledge base compiled from authoritative medical sources, encompassing a wide spectrum of symptoms, diseases and treatments. A user-friendly interface that can act as the bridge between the system and healthcare providers has been developed. The developed interface adeptly poses relevant questions, captures input data, and conveys the system's findings in an understandable manner. The transparency of the system's decision-making process is upheld by an explanation mechanism, which justifies diagnoses and treatment suggestions, instilling confidence in end users. Extensive testing and validation against established medical benchmarks ensure the system's reliability and efficacy. As it aligns with the digital transformation of healthcare, this expert system has the potential to provide rapid, consistent, and expert-backed medical diagnoses and prescriptions.
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