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Machine learning in patient flow: a review.
El-Bouri R, Taylor T, Youssef A, Zhu T, Clifton DA. El-Bouri R, et al. Among authors: clifton da. Prog Biomed Eng (Bristol). 2021 Apr;3(2):022002. doi: 10.1088/2516-1091/abddc5. Epub 2021 Feb 22. Prog Biomed Eng (Bristol). 2021. PMID: 34738074 Free PMC article. Review.
Fusing Continuous-Valued Medical Labels Using a Bayesian Model.
Zhu T, Dunkley N, Behar J, Clifton DA, Clifford GD. Zhu T, et al. Among authors: clifton da. Ann Biomed Eng. 2015 Dec;43(12):2892-902. doi: 10.1007/s10439-015-1344-1. Epub 2015 Jun 3. Ann Biomed Eng. 2015. PMID: 26036335
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.
Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA, Crook DW, Shamout F; CRyPTIC Consortium; Zhu T, Clifton DA. Yang Y, et al. Among authors: clifton da. Bioinformatics. 2019 Sep 15;35(18):3240-3249. doi: 10.1093/bioinformatics/btz067. Bioinformatics. 2019. PMID: 30689732 Free PMC article.
Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation.
Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D, Meredith P, Tarassenko L, Watkinson PJ, Clifton DA. Shamout F, et al. Among authors: clifton l, clifton da. BMJ Open. 2019 Nov 19;9(11):e033301. doi: 10.1136/bmjopen-2019-033301. BMJ Open. 2019. PMID: 31748313 Free PMC article.
175 results