MedBot+ Healthcare Chatbot
Introducing a healthcare chatbot using advanced encoder-decoder architecture with attention. It offers personalized, round-the-clock medical advice, leveraging a vast knowledge base. By tailoring responses and analyzing symptoms, it empowers users with accurate information, bridging technology and h ...learn more
Project status: Concept
oneAPI, Artificial Intelligence
Overview / Usage
In the rapidly evolving landscape of healthcare, technology continues to play a pivotal role in transforming patient care and medical services. The introduction of a simple yet powerful healthcare chatbot, built upon the foundations of an encoder-decoder architecture with an attention mechanism, marks a significant leap forward in patient engagement and clinical support.
Methodology / Approach
Key Features:
- Encoder-Decoder Architecture: The healthcare chatbot harnesses the power of an encoder-decoder neural network. The encoder processes input data, such as patient queries or symptoms, and transforms it into a meaningful representation. This representation is then passed to the decoder, which generates coherent and contextually relevant responses.
- Attention Mechanism: To enhance the quality of generated responses, an attention mechanism has been seamlessly integrated into the architecture. This mechanism allows the decoder to focus on specific parts of the input sequence while generating output. Consequently, the chatbot produces more accurate and contextually appropriate answers, improving patient understanding and satisfaction.
Repository
https://github.com/neilxndr/MedBot
Collaborators
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