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  - bert-base-uncased
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  - disease
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  - medical
 
 
 
 
 
 
 
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- A model that classifies a text like "I am feeling vomiting, breathlessness, and sweating" into it's disease (2 - 'Heart attack').
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- Basically a symptoms to disease classification. It's a baseline for a chatbot I am working on that will classify user's symptoms into diseases in a natural language environment.
 
 
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  - bert-base-uncased
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  - disease
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  - medical
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+ widget:
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+ - text: "I am having itching, skin rash, and nodal skin eruptions"
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+ example_title: "Fungal infection example"
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+ - text: "I feel like vomiting, breathlessness, and sweating"
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+ example_title: "Heart Attack example"
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+ - text: "I am feeling fatigue, weight loss, restlessness and also lethargy."
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+ example_title: "Diabetes example"
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  ---
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+ The objective is to develop a symptom-to-disease classification model for a natural language chatbot. This model takes input text such as "I am feeling vomiting, breathlessness, and sweating" and accurately identifies the associated disease (2 - 'Heart attack').
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+ In essence, the chatbot's purpose is to analyze users' symptoms and provide relevant disease predictions in real-time conversation.