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Machine Learning to Predict the Likelihood of Acute Myocardial Infarction.
Than MP, Pickering JW, Sandoval Y, Shah ASV, Tsanas A, Apple FS, Blankenberg S, Cullen L, Mueller C, Neumann JT, Twerenbold R, Westermann D, Beshiri A, Mills NL; MI3 Collaborative. Than MP, et al. Among authors: tsanas a. Circulation. 2019 Sep 10;140(11):899-909. doi: 10.1161/CIRCULATIONAHA.119.041980. Epub 2019 Aug 16. Circulation. 2019. PMID: 31416346 Free PMC article.
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis D, Lee KK, Yang J, Wereski R, Shah ASV, Tsanas A, Anand A, Pickering JW, Than MP, Mills NL; High-STEACS Investigators. Doudesis D, et al. Among authors: tsanas a. Lancet Digit Health. 2022 May;4(5):e300-e308. doi: 10.1016/S2589-7500(22)00025-5. Lancet Digit Health. 2022. PMID: 35461689 Free PMC article. Clinical Trial.
The power of data mining in diagnosis of childhood pneumonia.
Naydenova E, Tsanas A, Howie S, Casals-Pascual C, De Vos M. Naydenova E, et al. Among authors: tsanas a. J R Soc Interface. 2016 Jul;13(120):20160266. doi: 10.1098/rsif.2016.0266. J R Soc Interface. 2016. PMID: 27466436 Free PMC article.
Assessment of Oxygen Supply-Demand Imbalance and Outcomes Among Patients With Type 2 Myocardial Infarction: A Secondary Analysis of the High-STEACS Cluster Randomized Clinical Trial.
Bularga A, Taggart C, Mendusic F, Kimenai DM, Wereski R, Lowry MTH, Lee KK, Ferry AV, Stewart SS, McAllister DA, Shah ASV, Anand A, Newby DE, Mills NL, Chapman AR; High-Sensitivity Troponin in the Evaluation of Patients with Suspected Acute Coronary Syndrome (High-STEACS) Investigators. Bularga A, et al. JAMA Netw Open. 2022 Jul 1;5(7):e2220162. doi: 10.1001/jamanetworkopen.2022.20162. JAMA Netw Open. 2022. PMID: 35816305 Free PMC article. Clinical Trial.
70 results