Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models

Autor: Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

Publikováno v: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)

Abstract Background Efficient triage in emergency departments (EDs) is critical for timely and appropriate care. Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, such as clinical note

Externí odkaz: https://doaj.org/article/0b609c8fa86b47d0b4237be0e2a6406b

Condylar reshaping in a TMD patient after ortho-prosthetic treatment : a 20-year follow-up case report

Autor: R. Schiavoni, R. Contrafatto, C. Grenga, B. Pacella

Publikováno v: Schiavoni, R., Contrafatto, R., Grenga, C., & Pacella, B. (2022). Condylar reshaping in a TMD patient after ortho-prosthetic treatment: A 20-year follow-up case report. Journal of clinical and experimental dentistry, 14(2), e211–e216.

Temporomandibular disorders (TMDs) involve different conditions with similar symptoms and signs affecting the temporomandibular joints (TMJs), the muscles of mastication, or both. The symptoms and signs of TMDs are several: pain and tenderness in and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cc93db93cb7c0df6ebf1f4d94e568ba
https://hdl.handle.net/10550/87417

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24 Simulation and Medical Student Participation Augment Fidelity in a Resident-As-Teacher Course

Autor: P.E. Phrampus, M.L. Dorfsman, B. Pacella

Publikováno v: Annals of Emergency Medicine. 60:S171

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::483a1a9f065f913560b34510ba2111b3
https://doi.org/10.1016/j.annemergmed.2012.07.047

Statistica stellare

Autor: G. B. Pacella

Publikováno v: Rendiconti del Seminario Matematico e Fisico di Milano. 4:50-76

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8bcc4a9df9ac313f2d1996171a2efb9
https://doi.org/10.1007/bf02923743