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A New Natural Language Processing-Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study.
Paiva B, Gonçalves MA, da Rocha LCD, Marcolino MS, Lana FCB, Souza-Silva MVR, Almeida JM, Pereira PD, de Andrade CMV, Gomes AGDR, Ferreira MAP, Bartolazzi F, Sacioto MF, Boscato AP, Guimarães-Júnior MH, Dos Reis PP, Costa FR, Jorge AO, Coelho LR, Carneiro M, Sales TLS, Araújo SF, Silveira DV, Ruschel KB, Santos FCV, Cenci EPA, Menezes LSM, Anschau F, Bicalho MAC, Manenti ERF, Finger RG, Ponce D, de Aguiar FC, Marques LM, de Castro LC, Vietta GG, Godoy MF, Vilaça MDN, Morais VC. Paiva B, et al. Among authors: boscato ap. JMIR Med Inform. 2024 Oct 28;12:e54246. doi: 10.2196/54246. JMIR Med Inform. 2024. PMID: 39467275 Free PMC article.