Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis. - Katherine E. Niehaus; Timothy M. Walker; Derrick W. Crook; Tim E. A. Peto; David A. Clifton (BHI, 2014)

MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD. - Katherine E. Niehaus; Ian A. Clark; Corin Bourne; Clare E. Mackay; Emily A. Holmes; Stephen M. Smith 001; Mark William Woolrich; Eugene P. Duff (PRNI, 2014)

Phenotypic characterisation of Crohn's disease severity. - Katherine E. Niehaus; Holm H. Uhlig; David A. Clifton (EMBC, 2015)

Machine Learning and Decision Support in Critical Care. - Alistair E. W. Johnson; Mohammad M. Ghassemi; Shamim Nemati; Katherine E. Niehaus; David A. Clifton; Gari D. Clifford (Proc. IEEE, 2016)

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. - Yang Yang 125; Katherine E. Niehaus; Timothy M. Walker; Zamin Iqbal; A. Sarah Walker; Daniel J. Wilson 001; Tim E. A. Peto; Derrick W. Crook; E. Grace Smith; Tingting Zhu 001; David A. Clifton (Bioinform., 2018)

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes. - Tingting Zhu 001; Glen Wright Colopy; Glenn H. MacEwen; Katherine E. Niehaus; Yang Yang 125; Chris W. Pugh; David A. Clifton (IEEE Access, 2019)