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pro vyhledávání: '"Elhadi, Haithum"'
Autor:
Boughorbel, Sabri, Jarray, Fethi, Venugopal, Neethu, Moosa, Shabir, Elhadi, Haithum, Makhlouf, Michel
Recent works have shown that applying Machine Learning to Electronic Health Records (EHR) can strongly accelerate precision medicine. This requires developing models based on diverse EHR sources. Federated Learning (FL) has enabled predictive modelin
Externí odkaz:
http://arxiv.org/abs/1910.12191
In this paper we are interested in the prediction of preterm birth based on diagnosis codes from longitudinal EHR. We formulate the prediction problem as a supervised classification with noisy labels. Our base classifier is a Recurrent Neural Network
Externí odkaz:
http://arxiv.org/abs/1811.09782
Publikováno v:
In Advanced Engineering Informatics 2011 25(2):341-354
Publikováno v:
In Advanced Engineering Informatics 2011 25(2):364-379
Autor:
Elhadi, Haithum, Agam, Gady
Publikováno v:
2013 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2013); 8/25/2013, p1474-1476, 3p