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Development of an innovative and transparent symptom checker with a focus on natural language processing
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| 1.95 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
This paper presents the creation of a medical symptom checker with state-of-the-art machine
and deep learning technologies. It examines the use and development of a natural language
processing model which is trained on medical datasets. The model is discussed, highlighting its
advantages and disadvantages for the study. Moreover, the paper introduces a web application
which provides a user-friendly interface, allowing users to interact with the models and showcase
the results. Finally, the paper offers an outlook on the future use cases of the application and
how it may improve healthcare outcomes.
Descrição
Palavras-chave
Deep learning Machine learning Classification Speech to text Natural language processing Medical symptom checker Streamlit