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Project aims to develop a chatbot interface using deep learning algorithms and long-short term memory networks to accurately predict whether a patient's symptoms indicate a serious medical condition or are simply a result of health anxiety. Accurate and accessible, it acts as a bridge between patients and doctors, achieving 80%+ accuracy.
sohamdc/Medical_Assistant-_Chatbot
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Project aims to develop a chatbot interface using deep learning algorithms and long-short term memory networks to accurately predict whether a patient's symptoms indicate a serious medical condition or are simply a result of health anxiety. Accurate and accessible, it acts as a bridge between patients and doctors, achieving 80%+ accuracy.
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