Bayesian Gaussian processes for identifying the deteriorating patient by Colopy, G

Gaussian processes for personalized interpretable volatility metrics in the step-down ward by Colopy, G, Roberts, S, Clifton, D

Bayesian Gaussian processes for identifying the deteriorating patient by Colopy, G, Pimentel, M, Roberts, S, Clifton, D

Bayesian optimisation of Gaussian processes for identifying the deteriorating patient by Colopy, G, Pimentel, M, Roberts, S, Clifton, D

State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments by Colopy, G, Pimentel, M, Roberts, S, Clifton, D

Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes by Zhu, T, Colopy, G, Pugh, C, Clifton, D

Likelihood-based artefact detection in continuously-acquired patient vital signs by Colopy, G, Zhu, T, Clifton, L, Roberts, S, Clifton, D

Health informatics via machine learning for the clinical management of patients. by Clifton, D, Niehaus, K, Charlton, P, Colopy, G

The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review by Kwong, M, Colopy, G, Weber, A, Ercole, A, Bergmann, J

Patient-specific physiological monitoring and prediction using structured Gaussian processes by Zhu, T, Wright Colopy, G, Macewen, C, Niehaus, K, Yang, Y, Pugh, C, Clifton, D

SAMHD1 is mutated recurrently in chronic lymphocytic leukemia and is involved in response to DNA damage. by Clifford, R, Louis, T, Robbe, P, Ackroyd, S, Burns, A, Timbs, A, Wright Colopy, G, Dreau, H, Sigaux, F, Judde, J, Rotger, M, Telenti, A, Lin, Y, Pasero, P, Maelfait, J, Titsias, M, Cohen, DR, Henderson, S, Ross, M, Bentley, D, Hillmen, P, Pettitt, A, Rehwinkel, J, Knight, S, Taylor, J