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
517*2015
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
2632016
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
2632016
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
2192013
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
692018
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), 1-10, 2019
612019
Health informatics via machine learning for the clinical management of patients
DA Clifton, KE Niehaus, P Charlton, GW Colopy
Yearbook of medical informatics 24 (01), 38-43, 2015
462015
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
412014
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
272014
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
72015
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
32019
Predicting antibiotic resistance from genomic data
Y Yang, KE Niehaus, DA Clifton
Machine learning for healthcare technologies, 203-226, 0
3
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
Intelligent electronic health systems
DA Clifton, MAF Pimentel, KE Niehaus, L Clifton, TEA Peto, DW Crook, ...
Telemedicine and electronic medicine, 73-97, 2018
12018
Phenotypic modelling of Crohn's disease severity: a machine learning approach
K Niehaus
University of Oxford, 2017
12017
Machine learning for chronic disease
KE Niehaus, DA Clifton
Machine Learning for Healthcare Technologies 2, 227, 2016
12016
Machine learning implementation for multi-analyte assay development and testing
A Drake, D Delubac, K Niehaus, E Ariazi, I Haque, TY Liu, N Wan, ...
US Patent App. 17/174,153, 2021
2021
MACHINE LEARNING IMPLEMENTATION FOR MULTI-ANALYTE ASSAY DEVELOPMENT AND TESTING
A Drake, D Delubac, K Niehaus, E Ariazi, I Haque, T Liu, N Wan, ...
US Patent App. 16/624,897, 2021
2021
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
The system can't perform the operation now. Try again later.
Articles 1–20