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A data science approach for quantifying spatio-temporal effects to graft failures in organ transplantation.
Diego Pinheiro
Farag Hamad
Martin Cadeiras
Ronaldo Menezes
Nezamoddin Nezamoddini-Kachouie
Published in:
EMBC (2016)
Keyphrases
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spatio temporal
data science
big data
statistical learning
liver disease
machine learning
moving objects
spatial and temporal
medical images
spatio temporal data
decision trees
text classification
unsupervised learning
theoretical framework
failure modes
stem cell