This paper is in the following e-collection/theme issue:
Natural Language Processing (695) Advanced Data Analytics in eHealth (139) Big Data (241) Tools, Programs and Algorithms (268) Clinical Informatics (1033) Data Science (275) JMIR Theme Issue: COVID-19 Special Issue (2454) Public (e)Health, Digital Epidemiology and Public Health Informatics (727) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (37)Published on in Vol 12 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/54246, first published
.
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
Authors of this article:
Bruno Paiva1 ; Marcos André Gonçalves1 ; Leonardo Chaves Dutra da Rocha2 ; Milena Soriano Marcolino3 ; Fernanda Cristina Barbosa Lana3 ; Maira Viana Rego Souza-Silva3 ; Jussara M Almeida1 ; Polianna Delfino Pereira3 ; Claudio Moisés Valiense de Andrade1 ; Angélica Gomides dos Reis Gomes4 ; Maria Angélica Pires Ferreira5 ; Frederico Bartolazzi6 ; Manuela Furtado Sacioto7 ; Ana Paula Boscato8 ; Milton Henriques Guimarães-Júnior9 ; Priscilla Pereira dos Reis10 ; Felício Roberto Costa3 ; Alzira de Oliveira Jorge11 ; Laryssa Reis Coelho12 ; Marcelo Carneiro13 ; Thaís Lorenna Souza Sales1 ; Silvia Ferreira Araújo14 ; Daniel Vitório Silveira15 ; Karen Brasil Ruschel1 ; Fernanda Caldeira Veloso Santos16 ; Evelin Paola de Almeida Cenci17 ; Luanna Silva Monteiro Menezes1 ; Fernando Anschau18 ; Maria Aparecida Camargos Bicalho19 ; Euler Roberto Fernandes Manenti20 ; Renan Goulart Finger21 ; Daniela Ponce22 ; Filipe Carrilho de Aguiar23 ; Luiza Margoto Marques7 ; Luís César de Castro24 ; Giovanna Grünewald Vietta25 ; Mariana Frizzo de Godoy6 ; Mariana do Nascimento Vilaça26 ; Vivian Costa Morais7There are no citations yet available for this article according to Crossref .