Word Embedding Neural Networks to Advance Knee Osteoarthritis Research

Knee OA is not a curable disease yet, and it affects large columns of patients, making it costly to patients and healthcare systems. Although knee OA carries a list of well-known terminology aiming to standardize the nomenclature of the diagnosis, prognosis, treatment, and clinical outcomes of the chronic joint disease, in practice there is a wide range of terminology associated with knee OA across different data sources, including but not limited to biomedical literature, clinical notes, healthcare literacy, and health-related social media. Among these data sources, the scientific articles published in the biomedical literature usually make a principled pipeline to study disease. The present works aim to utilize artificial neural network strategies to automatically extract vocabularies associated with knee OA diseases using scientific articles.