A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records (2009)
- Authors:
- USP affiliated authors: DANELUZZI, JULIO CESAR - FMRP ; TINÓS, RENATO - FFCLRP ; BARANAUSKAS, JOSÉ AUGUSTO - FFCLRP ; MACEDO, ALESSANDRA ALANIZ - FFCLRP
- Unidades: FMRP; FFCLRP
- Subjects: SISTEMAS DE INFORMAÇÃO HOSPITALAR; INFORMÁTICA MÉDICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Vancouver
- Date published: 2009
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE International Conference on Computational Science and Engineering (CSE)
-
ABNT
POLLETTINI, Juliana T. et al. A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. 2009, Anais.. Vancouver: IEEE Computer Society, 2009. . Acesso em: 23 abr. 2024. -
APA
Pollettini, J. T., Nicolas, F. P., Panico, S. G., Daneluzzi, J. C., Tinós, R., Baranauskas, J. A., & Macedo, A. A. (2009). A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. In Proceedings. Vancouver: IEEE Computer Society. -
NLM
Pollettini JT, Nicolas FP, Panico SG, Daneluzzi JC, Tinós R, Baranauskas JA, Macedo AA. A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. Proceedings. 2009 ;[citado 2024 abr. 23 ] -
Vancouver
Pollettini JT, Nicolas FP, Panico SG, Daneluzzi JC, Tinós R, Baranauskas JA, Macedo AA. A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. Proceedings. 2009 ;[citado 2024 abr. 23 ] - Using machine learning classifiers to assist healthcare-related decisions: classification of eletronic patient records
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