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Page 1
Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID-19.
Pigoli D, Baker K, Budd J, Butler L, Coppock H, Egglestone S, Gilmour SG, Holmes C, Hurley D, Jersakova R, Kiskin I, Koutra V, Mellor J, Nicholson G, Packham J, Patel S, Payne R, Roberts SJ, Schuller BW, Tendero-Cañadas A, Thornley T, Titcomb A. Pigoli D, et al. Among authors: kiskin i. Stat Med. 2024 Nov 10;43(25):4861-4871. doi: 10.1002/sim.10211. Epub 2024 Sep 5. Stat Med. 2024. PMID: 39237100
A large-scale and PCR-referenced vocal audio dataset for COVID-19.
Budd J, Baker K, Karoune E, Coppock H, Patel S, Payne R, Tendero Cañadas A, Titcomb A, Hurley D, Egglestone S, Butler L, Mellor J, Nicholson G, Kiskin I, Koutra V, Jersakova R, McKendry RA, Diggle P, Richardson S, Schuller BW, Gilmour S, Pigoli D, Roberts S, Packham J, Thornley T, Holmes C. Budd J, et al. Among authors: kiskin i. Sci Data. 2024 Jun 27;11(1):700. doi: 10.1038/s41597-024-03492-w. Sci Data. 2024. PMID: 38937483 Free PMC article.
COVID-19 detection from audio: seven grains of salt.
Coppock H, Jones L, Kiskin I, Schuller B. Coppock H, et al. Among authors: kiskin i. Lancet Digit Health. 2021 Sep;3(9):e537-e538. doi: 10.1016/S2589-7500(21)00141-2. Epub 2021 Jul 21. Lancet Digit Health. 2021. PMID: 34303644 Free PMC article. No abstract available.