Making a pipeline production-ready: challenges and lessons learned in the healthcare domain (2026)
- Authors:
- USP affiliated authors: LEJBMAN, ALFREDO GOLDMAN VEL - IME ; FINGER, MARCELO - IME ; LAWAND, DANIEL ANGELO ESTEVES - IME ; LAM, LUCAS QUARESMA MEDINA - IME ; BOLGHERONI, ROBERTO OLIVEIRA - IME ; FERREIRA, RENATO CORDEIRO - IME
- Unidade: IME
- DOI: 10.1007/978-3-032-04403-7_30
- Subjects: ARQUITETURA DE SOFTWARE; APRENDIZADO COMPUTACIONAL; CUIDADOS MÉDICOS; QUALIDADE DE PROCESSO DE SOFTWARE
- Keywords: Code Quality; MLOps; Software Architecture; Machine Learning Enabled Systems; Healthcare Domain; Experience Report
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Conference titles: Software Architecture. ECSA 2025 Tracks and Workshops
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LAWAND, Daniel Angelo Esteves et al. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-04403-7_30. Acesso em: 14 fev. 2026. , 2026 -
APA
Lawand, D. A. E., Lam, L. Q. M., Bolgheroni, R. O., Ferreira, R. C., Goldman, A., & Finger, M. (2026). Making a pipeline production-ready: challenges and lessons learned in the healthcare domain. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-032-04403-7_30 -
NLM
Lawand DAE, Lam LQM, Bolgheroni RO, Ferreira RC, Goldman A, Finger M. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain [Internet]. Lecture Notes in Computer Science. 2026 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.1007/978-3-032-04403-7_30 -
Vancouver
Lawand DAE, Lam LQM, Bolgheroni RO, Ferreira RC, Goldman A, Finger M. Making a pipeline production-ready: challenges and lessons learned in the healthcare domain [Internet]. Lecture Notes in Computer Science. 2026 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.1007/978-3-032-04403-7_30 - The evolution of CRISP-DM for data science: methods, processes and frameworks
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Informações sobre o DOI: 10.1007/978-3-032-04403-7_30 (Fonte: oaDOI API)
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