Analysis of chronic pain descriptions for base-pathology prediction: the case of rheumatoid arthritis versus spondylitis pathology prediction based on pain descriptions
Diogo A.P. Nunes,
Joana Ferreira-Gomes,
Carlos Vaz,
Daniela Oliveira,
Sofia Pimenta,
Fani Neto,
David Martins de Matos
Affiliations
Diogo A.P. Nunes
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Joana Ferreira-Gomes
Department of Biomedicine, Experimental Biology Unit, Faculty of Medicine, University of Porto,Porto, Portugal
Carlos Vaz
Faculty of Medicine, University of Porto, Porto, Portugal
Daniela Oliveira
University Hospital Center of São João, Porto, Portugal
Sofia Pimenta
University Hospital Center of São João, Porto, Portugal
Fani Neto
Department of Biomedicine, Experimental Biology Unit, Faculty of Medicine, University of Porto,Porto, Portugal
David Martins de Matos
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal
The language of pain is a sub-language used to describe a subjective, private, and painful experience. In the clinical assessment and management of chronic pain, which is not as straightforward as acute pain, verbal communication is key to convey relevant information to health professionals that would otherwise not be accessible, namely, intrinsic qualities of the painful experience and that of the patient. We raise the hypothesis of applying Natural Language P
