Massara, Paraskevi; Lopez-Dominguez, Lorena; Bourdon, Celine; Bassani, Diego G; Keown-Stoneman, Charles Donald George 
; Birken, Catherine S; Maguire, Jonathon L; Santos, Iná da Silva dos ; Manitto, Alicia Matijasevich ; Bandsma, Robert H. J; Comelli, Elena Maria
Fonte: International journal of medical informatics. Unidade: FM
Assuntos: DESENVOLVIMENTO INFANTIL, ESTATÍSTICA COMPUTACIONAL, ANTROPOMETRIA
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MASSARA, Paraskevi et al. A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features. International journal of medical informatics, v. 177, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/56168. Acesso em: 28 nov. 2025.APA
Massara, P., Lopez-Dominguez, L., Bourdon, C., Bassani, D. G., Keown-Stoneman, C. D. G., Birken, C. S., et al. (2023). A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features. International journal of medical informatics, 177. doi:10.1016/j.ijmedinf.2023.105143NLM
Massara P, Lopez-Dominguez L, Bourdon C, Bassani DG, Keown-Stoneman CDG, Birken CS, Maguire JL, Santos I da S dos, Manitto AM, Bandsma RHJ, Comelli EM. A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features [Internet]. International journal of medical informatics. 2023 ; 177[citado 2025 nov. 28 ] Available from: https://observatorio.fm.usp.br/handle/OPI/56168Vancouver
Massara P, Lopez-Dominguez L, Bourdon C, Bassani DG, Keown-Stoneman CDG, Birken CS, Maguire JL, Santos I da S dos, Manitto AM, Bandsma RHJ, Comelli EM. A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features [Internet]. International journal of medical informatics. 2023 ; 177[citado 2025 nov. 28 ] Available from: https://observatorio.fm.usp.br/handle/OPI/56168
