Simon Bull
Simon Bull
Applied Scientist, Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
Properties of protein drug target classes
SC Bull, AJ Doig
PloS one 10 (3), e0117955, 2015
882015
Maximising the size of non-redundant protein datasets using graph theory
SC Bull, MR Muldoon, AJ Doig
PloS one 8 (2), e55484, 2013
142013
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR
N Poh, S Tirunagari, N Cole, S de Lusignan
Journal of biomedical informatics 76, 69-77, 2017
22017
Automatic detection of acute kidney injury episodes from primary care data
S Tirunagari, SC Bull, A Vehtari, C Farmer, S de Lusignan, N Poh
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016
22016
Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate
S Tirunagari, S Bull, N Poh
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
22016
Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors
S Tirunagari, S Bull, S Kouchaki, D Cooke, N Poh
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016
12016
A Probabilistic Broken-stick Model for CKD Staging and Risk Stratification
N Poh, S Bull, S Tirunagari, S de Lusignan
2017
Identifying Progressive CKD from Primary Care Records–a Study Protocol
N Poh, S Bull, S Tirunagari, J Williams, N Cole, C Farmer, S de Lusignan
2017
A Factored Co-morbidity Approach for Modelling CKD Progression
N Poh, S Bull, S Tirunagari, C Farmer, N Cole, S de Lusignan
2017
Automatically Detecting AKI Events from Primary Care Records
S Tirunagari, S Bull, F Christopher, S de Lusignan, N Poh
2017
Predicting Drug Target Proteins and Their Properties
S Bull
PQDT-UK & Ireland, 2015
2015
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Articles 1–11