Katherine Niehaus
Katherine Niehaus
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study
TM Walker, TA Kohl, SV Omar, J Hedge, CDO Elias, P Bradley, Z Iqbal, ...
The Lancet infectious diseases 15 (10), 1193-1202, 2015
388*2015
Risk of cardiovascular disease from antiretroviral therapy for HIV: a systematic review
C Bavinger, E Bendavid, K Niehaus, RA Olshen, I Olkin, V Sundaram, ...
PloS one 8 (3), e59551, 2013
1932013
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE 104 (2), 444-466, 2016
1772016
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE 104 (2), 444-466, 2016
1772016
Health informatics via machine learning for the clinical management of patients
DA Clifton, KE Niehaus, P Charlton, GW Colopy
Yearbook of medical informatics 10 (1), 38, 2015
332015
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data
Y Yang, KE Niehaus, TM Walker, Z Iqbal, AS Walker, DJ Wilson, TEA Peto, ...
Bioinformatics 34 (10), 1666-1671, 2018
292018
First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage
IA Clark, KE Niehaus, EP Duff, MC Di Simplicio, GD Clifford, SM Smith, ...
Behaviour research and therapy 62, 37-46, 2014
292014
Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis
KE Niehaus, TM Walker, DW Crook, TEA Peto, DA Clifton
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014
182014
Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA
N Wan, D Weinberg, TY Liu, K Niehaus, EA Ariazi, D Delubac, A Kannan, ...
BMC cancer 19 (1), 832, 2019
132019
MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD
KE Niehaus, IA Clark, C Bourne, CE Mackay, EA Holmes, SM Smith, ...
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
82014
Phenotypic characterisation of Crohn's disease severity
KE Niehaus, HH Uhlig, DA Clifton
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
42015
Predicting antibiotic resistance from genomic data
Y Yang, KE Niehaus, DA Clifton
Machine learning for healthcare technologies, 203-226, 0
2
Su1658–Machine Learning Enables Detection of Early-Stage Colorectal Cancer by Whole-Genome Sequencing of Plasma Cell-Free Dna
N Wan, D Weinberg, T Liu, K Niehaus, D Delubac, A Kannan, B White, ...
Gastroenterology 156 (6), S-600-S-601, 2019
12019
Phenotypic modelling of Crohn's disease severity: a machine learning approach
K Niehaus
University of Oxford, 2016
12016
Intelligent electronic health systems
DA Clifton, MAF Pimentel, K Niehaus, L Clifton, TEA Peto, DW Crook, ...
Telemedicine and electronic medicine’(CRC Press, 2015), 73-97, 2015
12015
Intelligent electronic health systems
DA Clifton, MAF Pimentel, K Niehaus, L Clifton, TEA Peto, DW Crook, ...
Telemedicine and electronic medicine’(CRC Press, 2015), 73-97, 2015
12015
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes
T Zhu, GW Colopy, C Macewen, K Niehaus, Y Yang, CW Pugh, DA Clifton
IEEE Access 7, 58094-58103, 2019
2019
Machine learning enables detection of early-stage colorectal cancer by whole-genome
N Wan, D Weinberg, T Liu, K Niehaus, E Ariazi, D Delubac, A Kannan, ...
2019
Drug-resistant diagnosis for tuberculosis using DNA sequencing and machine learning
Y Yang, KE Niehaus, DA Clifton
2016
Machine learning for chronic disease
KE Niehaus, DA Clifton
Machine Learning for Healthcare Technologies 2, 227, 2016
2016
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Articles 1–20