Disease Detection from Symptoms using Transformers and Tokenizer is an AI-based healthcare solution that analyzes patient-reported symptoms to predict possible diseases. The system uses tokenization to convert textual symptom descriptions into structured input data and leverages transformer-based deep learning models to understand contextual relationships between symptoms. By capturing semantic meaning and patterns in medical text, the model can provide accurate disease predictions, assist in early diagnosis, and support healthcare professionals in decision-making.
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