E-LIB Suche - Ergebnisse für: Niehaus, Katherine E.

1

Machine learning for classifying tuberculosis drug-resistan..:

Yang, Yang ; Niehaus, Katherine E ; Walker, Timothy M...
Bioinformatics. 34 (2017) 10 - p. 1666-1671 , 2017

Link: https://doi.org/10.1093/..

2

Intelligent electronic health systems:

, In: Telemedicine and electronic medicine / edited by Halit Eren, John G. Webster

Clifton, David A. ; Pimentel, Marco A. F. ; Niehaus, Katherine E.. (2016) - p. 73-97

Exemplar: TB BHV: mmt 45/158-1

3

Machine Learning and Decision Support in Critical Care:

Johnson, Alistair E. W. ; Ghassemi, Mohammad M. ; Nemati, Shamim...
Proceedings of the IEEE. 104 (2016) 2 - p. 444-466 , 2016

Link: https://doi.org/10.1109/..

4

Whole-genome sequencing for prediction of Mycobacterium tub..:

Walker, Timothy M ; Kohl, Thomas A ; Omar, Shaheed V...
The Lancet Infectious Diseases. 15 (2015) 10 - p. 1193-1202 , 2015

Link: https://doi.org/10.1016/..

5

First steps in using machine learning on fMRI data to predi..:

Clark, Ian A. ; Niehaus, Katherine E. ; Duff, Eugene P....
Behaviour Research and Therapy. 62 (2014) - p. 37-46 , 2014

Link: https://doi.org/10.1016/..

6

Machine Learning and Decision Support in Critical Care:

Johnson, Alistair E. W ; Ghassemi, Mohammad M ; Nemati, Shamim...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066876/. , 2016

Link: http://www.ncbi.nlm.nih...

7

Whole-genome sequencing for prediction of Mycobacterium tub..:

Walker, Timothy M ; Kohl, Thomas A ; Omar, Shaheed V...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579482/. , 2015

Link: http://www.ncbi.nlm.nih...

8

Whole-genome sequencing for prediction of Mycobacterium tub..:

Walker, Timothy M ; Kohl, Thomas A ; Hedge, Jessica...
Walker, TM, Kohl, TA, Omar, SV et al 2015, 'Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance : a retrospective cohort study', Lancet Infectious Diseases, vol. 15, no. 10, pp. 1193-1202.. , 2015

Link: http://hdl.handle.net/22..

9

First steps in using machine learning on fMRI data to predi..:

Clark, Ian A ; Niehaus, Katherine E ; Duff, Eugene P...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC. , 2014

Link: http://www.ncbi.nlm.nih...

10

Su1658 – Machine Learning Enables Detection of Early-Stage ..:

Wan, Nathan ; Weinberg, David ; Liu, Tzu-yu...
Gastroenterology. 156 (2019) 6 - p. S-600-S-601 , 2019

Link: https://doi.org/10.1016/..

11

Machine learning enables detection of early-stage colorecta..:

Wan, Nathan ; Weinberg, David ; Liu, Tzu-Yu...
BMC Cancer. 19 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

12

Machine learning enables detection of early-stage colorecta..:

Nathan Wan ; David Weinberg ; Tzu-Yu Liu...
http://link.springer.com/article/10.1186/s12885-019-6003-8. , 2019

Link: https://doi.org/10.1186/..

13

Contributors:

, In: Comparative Veterinary Anatomy,

Agnello, Kimberly A. ; Akbar, Zeeshan ; Al-Juhaishi, Oday Alawi... - p. xv-xx , 2022

Link: https://doi.org/10.1016/..

14

Multiscale Model for Hydrogen Chloride Uptake on Aluminum f..:

Niehaus, Justin E. ; Mazumder, Sandip
Journal of Spacecraft and Rockets. 61 (2024) 3 - p. 839-846 , 2024

Link: https://doi.org/10.2514/..

15

Sex differences in emotion- and reward-related neural respo..:

Chaplin, Tara M. ; Curby, Timothy W. ; Gonçalves, Stefanie F....
Behavioural Brain Research. 450 (2023) - p. 114499 , 2023

Link: https://doi.org/10.1016/..