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Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations.
Doudesis D, Lee KK, Boeddinghaus J, Bularga A, Ferry AV, Tuck C, Lowry MTH, Lopez-Ayala P, Nestelberger T, Koechlin L, Bernabeu MO, Neubeck L, Anand A, Schulz K, Apple FS, Parsonage W, Greenslade JH, Cullen L, Pickering JW, Than MP, Gray A, Mueller C, Mills NL; CoDE-ACS Investigators. Doudesis D, et al. Among authors: pickering jw. Nat Med. 2023 May;29(5):1201-1210. doi: 10.1038/s41591-023-02325-4. Epub 2023 May 11. Nat Med. 2023. PMID: 37169863 Free PMC article.
Combining presentation high-sensitivity cardiac troponin I and glucose measurements to rule-out an acute myocardial infarction in patients presenting to emergency department with chest pain.
Greenslade JH, Kavsak P, Parsonage W, Shortt C, Than M, Pickering JW, Aldous S, Cullen L. Greenslade JH, et al. Among authors: pickering jw. Clin Biochem. 2015 Mar;48(4-5):288-91. doi: 10.1016/j.clinbiochem.2014.11.019. Epub 2014 Dec 5. Clin Biochem. 2015. PMID: 25485933
A Clinical Decision Rule to Identify Emergency Department Patients at Low Risk for Acute Coronary Syndrome Who Do Not Need Objective Coronary Artery Disease Testing: The No Objective Testing Rule.
Greenslade JH, Parsonage W, Than M, Scott A, Aldous S, Pickering JW, Hammett CJ, Cullen L. Greenslade JH, et al. Among authors: pickering jw. Ann Emerg Med. 2016 Apr;67(4):478-489.e2. doi: 10.1016/j.annemergmed.2015.08.006. Epub 2015 Sep 10. Ann Emerg Med. 2016. PMID: 26363570
216 results