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Books

[2] King, S., Mills, A., Kadirkamanathan, V., and Clifton, D.A.:
Equipment Health Monitoring in Complex Systems
Artech House, 2017 [Amazon]

[1] Clifton, D.A.:
Machine Learning for Healthcare Technologies
Institution of Engineering & Technology Press, 2016 [Amazon]


Theses and Reports

Birrenkot, D.:
Respiratory Quality Indices for Automated Monitoring of Respiration from Sensor Data
DPhil Thesis, Department of Engineering Science, University of Oxford, 2019 [PDF]

Santos, M.:
Vital-Sign Data-Fusion Methods to Identify Patient Deterioration in the Emergency Department
DPhil Thesis, Department of Engineering Science, University of Oxford, 2018 [PDF]

Dunkley, N.:
Methods for Evaluating and Improving Mortality Prediction in Intensive Care
DPhil Thesis, Department of Engineering Science, University of Oxford, 2017 [PDF]

Shamout, F.E.:
Machine Learning for the Deterioration of Patients on Hospital Wards
Transfer Report, Department of Engineering Science, University of Oxford, 2017 [PDF]

Marais, H.G.:
A Predictive and Scalable Health-Monitoring System for Handpumps
Transfer Report, Department of Engineering Science, University of Oxford, 2017 [PDF]

Niehaus, K.E.:
Phenotypic Modelling of Crohn's Disease Severity: A Machine Learning Approach
DPhil Thesis, Department of Engineering Science, University of Oxford, 2016 [PDF]

Zhu, T.T.:
Bayesian Fusion of Continuous-Valued Labels in Biomedical Applications
DPhil Thesis, Department of Engineering Science, University of Oxford, 2016 [PDF]

Shen, Y.:
Evaluation of Cardiovascular Disease Risk in the China Kadoorie Biobank using Novelty Detection
Transfer Report, Department of Engineering Science, University of Oxford, 2016 [PDF]

Osipov, M.:
Towards Automated Symptoms Assessment in Mental Health
DPhil Thesis, Department of Engineering Science, University of Oxford, 2016 [PDF]

Prince, J.:
Vital-Sign Monitoring Using Pulse Oximetry for Automated Triage and the Prediction of Patient Deterioration
Transfer Report, Department of Engineering Science, University of Oxford, 2016 [PDF]

Birrenkott, D.:
Respiratory Quality Index Design and Validation for ECG- and PPG-Derived Respiratory Data
Transfer Report, Department of Engineering Science, University of Oxford, 2016 [PDF]

Colopy, G.W.:
Bayesian Gaussian Processes for Identifying the Deteriorating Patient
Transfer Report, Department of Engineering Science, University of Oxford, 2015 [PDF]

Colchester, F.:
Predicting Groundwater Depth Using Handpump Accelerometry Data
Transfer Report, Department of Engineering Science, University of Oxford, 2015 [PDF]

Pimentel, M.A.F.:
Modelling of Vital-Sign Data from Post-operative Patients
DPhil Thesis, Department of Engineering Science, University of Oxford, 2015 [PDF]

Shen, Y.:
Evaluation of Cardiovascular Disease Risk in the China Kadoorie Biobank Using Novelty Detection
Technical Report, Department of Engineering Science, University of Oxford, 2015 [PDF]

Greeff, H.:
Smart Water Systems
MSc Thesis, Department of Engineering Science, University of Oxford, 2014 [PDF]

Niehaus, K.E.:
Machine Learning with Electronic Health Records
Transfer Report, Department of Engineering Science, University of Oxford, 2014 [PDF]

Charlton, P.:
Monitoring Physiological Trajectories
Transfer Report, School of Medicine, King's College London, 2014 [PDF]

Khalid, S.:
Data Fusion Models for Detection of Vital-Sign Deterioration in Acutely Ill Patients
DPhil Thesis, Department of Engineering Science, University of Oxford, 2013 [PDF]

Hugueny, S.:
Novelty Detection with Extreme Value Theory in Vital-Sign Monitoring
DPhil Thesis, Department of Engineering Science, University of Oxford, 2013 [PDF]

Pimentel, M.A.F.:
Vital-Sign Data Fusion Models for Post-operative Patients
Transfer Report, Department of Engineering Science, University of Oxford, 2012 [PDF]

Santos, M.:
Performance of Early-Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department
Transfer Report, Department of Engineering Science, University of Oxford, 2012 [PDF]

Pimentel, M.A.F.:
Vital-Sign Data Fusion Models for Post-operative Patients
Technical Report, Department of Engineering Science, University of Oxford, 2011 [PDF]

Hugueny, S.:
Extreme Value Theory for Novelty Detection in Vital-Sign Monitoring
Transfer Report, Department of Engineering Science, University of Oxford, 2009 [PDF]

Clifton, D.A.:
Novelty Detection with Extreme Value Theory in Jet Engine Data
DPhil Thesis, Department of Engineering Science, University of Oxford, 2009 [PDF]

Hugueny, S.:
Extreme Value Theory for Novelty Detection in Vital Sign Monitoring
Technical Report, Department of Engineering Science, University of Oxford, 2008 [PDF]

Clifton, L:
Multi-channel Novelty Detection and Classifier Combination
PhD Thesis, Faculty of Engineering and Physical Sciences, University of Manchester, 2007 [PDF]

Clifton, D.A.:
Condition Monitoring of Gas-Turbine Engines.
Transfer Report, Department of Engineering Science, University of Oxford, 2005 [PDF]