Browse by UCL people
Group by: Type | Date
Number of items: 2.
Article
Mohammed, MA;
Rudge, G;
Wood, G;
Smith, G;
Nangalia, V;
Prytherch, D;
Holder, R;
(2012)
Which is more useful in predicting hospital mortality - dichotomised blood test results or actual test values? A retrospective study in two hospitals.
PLoS One
, 7
(10)
, Article e46860. 10.1371/journal.pone.0046860.
|
 |
Thesis
|
Nangalia, V;
(2017)
ML-EWS: Machine Learning Early Warning System. The application of machine learning to predict in-hospital patient deterioration.
Doctoral thesis , UCL (University College London).
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