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Improving patient referral classification through deep learning and natural language processing

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Detalhes bibliográficos
Resumo:The health sector is showing interest in machine learning techniques to enhance various aspects of patient care. In this paper, the application of deep learning and Natural Language Processing (NLP) techniques to improve patient referral classification at Hospital Garcia De Orta (HGO) is explored. Results showed that these advanced techniques outperformed traditional machine learning models, highlighting the effectiveness of combining deep learning and NLP.
Autores principais:Kamoun, Marouan
Assunto:Deep learning Natural language processing Classification Prediction Business analytics Machine learning
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:The health sector is showing interest in machine learning techniques to enhance various aspects of patient care. In this paper, the application of deep learning and Natural Language Processing (NLP) techniques to improve patient referral classification at Hospital Garcia De Orta (HGO) is explored. Results showed that these advanced techniques outperformed traditional machine learning models, highlighting the effectiveness of combining deep learning and NLP.