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Intelligent Information System to Tracking Patients in Intensive Care Units.

F. Marins, L. Cardoso, F. Portela, M. Santos, A. Abelha, and J. Machado. UCAmI, volume 8276 of Lecture Notes in Computer Science, page 54-61. Springer, (2013)

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Jithin Jose University of Stuttgart

Basil Jose University of Stuttgart

Prof. Jose Luis Moro University of Stuttgart

Jose Juan Jeronimo Rendon University of Stuttgart

Jose Manuel Monterrosas Romero University of Stuttgart

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Blood type classification using computer vision and machine learning.A. Ferraz, J. Brito, V. Carvalho, and J. Machado. Neural Computing and Applications, 28 (8): 2029-2040 (2017)Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units .R. Veloso, F. Portela, M. Santos, Á. Silva, F. Rua, A. Abelha, and J. Machado. KMIS, page 245-254. SciTePress, (2014)Step towards Paper Free Hospital through Electronic Health Record.M. Salazar, J. Duarte, R. Pereira, F. Portela, M. Santos, A. Abelha, and J. Machado. WorldCIST, volume 206 of Advances in Intelligent Systems and Computing, page 685-694. Springer, (2013)Real-time Systems Safety Control Considering Human Machine Interface.J. Machado, and E. Seabra. ICINCO-SPSMC, page 269-274. INSTICC Press, (2008)A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments.A. Brandão, E. Pereira, M. Esteves, F. Portela, M. Santos, A. Abelha, and J. Machado. Information, 7 (4): 57 (2016)Evolutionary intelligence in asphalt pavement modeling and quality-of-information.J. Neves, J. Ribeiro, P. Pereira, V. Alves, J. Machado, A. Abelha, P. Novais, C. Analide, M. Santos, and M. Delgado. Progress in AI, 1 (1): 119-135 (2012)A Deep-Big Data Approach to Health Care in the AI Age.J. Neves, H. Vicente, M. Esteves, F. Ferraz, A. Abelha, J. Machado, J. Machado, J. Neves, J. Ribeiro, and L. Sampaio. MONET, 23 (4): 1123-1128 (2018)Text Mining Models to Predict Brain Deaths Using X-Rays Clinical Notes.A. Silva, F. Portela, M. Santos, J. Machado, and A. Abelha. MIKE, volume 10089 of Lecture Notes in Computer Science, page 153-163. (2016)Real-Time Models to Predict the Use of Vasopressors in Monitored Patients.A. Braga, F. Portela, M. Santos, A. Abelha, J. Machado, Á. Silva, and F. Rua. ICSH, volume 9545 of Lecture Notes in Computer Science, page 15-25. Springer, (2015)Artificial Neural Networks in Diagnosis of Liver Diseases.J. Neves, A. Cunha, A. de Almeida, A. Carvalho, J. Neves, A. Abelha, J. Machado, and H. Vicente. ITBAM, volume 9267 of Lecture Notes in Computer Science, page 71-80. Springer, (2015)