Asking questions that are "close to the bone": integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures.

Di Basilio, Daniela; King, Lorraine; Lloyd, Sarah; Michael, Panayiotis; Shardlow, Matthew

Di Basilio, Daniela; King, Lorraine; Lloyd, Sarah; Michael, Panayiotis; Shardlow, Matthew.

Afiliação

Di Basilio D; Division of Health Research, School of Health and Medicine, Lancaster University, Lancaster, United Kingdom.
King L; Department of Neuropsychology, North Staffordshire Combined Healthcare NHS Trust, Stoke-on-Trent, United Kingdom.
Lloyd S; Department of Psychology, Manchester Metropolitan University, Manchester, United Kingdom.
Michael P; Department of Psychology, Manchester Metropolitan University, Manchester, United Kingdom.
Shardlow M; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.

Front Digit Health ; 6: 1387139, 2024.

Article em En | MEDLINE | ID: mdl-38983792

Palavras-chave

artificial intelligence; healthcare development; natural language processing; patient-reported outcome measures; sentiment analysis; traumatic brain injury

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Digit Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Suíça

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