Symptom-to-Department Classification Model
Intelligent symptom analysis for accurate department routing in healthcare facilities
Developing a natural language processing model that analyzes patient symptom descriptions in multiple Indian languages and predicts the appropriate medical department for consultation. The model uses a custom trained transformer architecture with domain specific fine tuning on Indian healthcare data, achieving context aware understanding of vernacular symptom reporting.