K. Niehaus

发表

4 Intelligent Electronic Health Systems

Lei A. Clifton, Marco A. F. Pimentel, D. Clifton, 2015 .

Phenotypic modelling of Crohn's disease severity : a machine learning approach

K. Niehaus, 2017 .

Health Informatics via Machine Learning for the Clinical Management of Patients

Glen Wright Colopy, D A Clifton, D. Clifton, 2015, Yearbook of Medical Informatics.

First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage

Mark W. Woolrich, Clare E. Mackay, Gari D. Clifford, 2014, Behaviour research and therapy.

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Gabriel E. Sanderson, Nathan Boley, Yaping Liu, 2018, BMC Cancer.

Predicting antibiotic resistance from genomic data

D. Clifton, Yang Yang, K. Niehaus, 2016 .

Machine learning for chronic disease

D. Clifton, K. Niehaus, 2016 .

FIND FH – A phenotype model to identify patients with familial hypercholesterolemia

N. Shah, J. Knowles, J. Banda, 2015 .

Machine Learning and Decision Support in Critical Care

Shamim Nemati, David A. Clifton, Mohammad M. Ghassemi, 2016, Proceedings of the IEEE.

Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.

Shamim Nemati, Mohammad M. Ghassemi, Alistair E. W. Johnson, 2016 .

Risk of Cardiovascular Disease from Antiretroviral Therapy for HIV: A Systematic Review

I. Olkin, R. Olshen, M. Desai, 2013, PloS one.

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Gabriel E. Sanderson, Nathan Boley, Yaping Liu, 2018, bioRxiv.

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

Phelim Bradley, Zamin Iqbal, Daniel J. Wilson, 2015, The Lancet. Infectious diseases.

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

David A. Clifton, Yang Yang, Zamin Iqbal, 2017, Bioinform..

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes

David A. Clifton, Yang Yang, Glen Wright Colopy, 2019, IEEE Access.

Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis

David A. Clifton, Katherine E. Niehaus, Derrick W. Crook, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD

Mark W. Woolrich, Eugene P. Duff, Katherine E. Niehaus, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Intelligent Electronic Health Systems

David A. Clifton, Lei A. Clifton, Peter J. Watkinson, 2018, TeleMedicine and Electronic Medicine.