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1篇 您的检索式：作者名="Colin AGraham"

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		题名	作者	年代	出处	被引量
	1	A new risk stratification score for patients with suspected cardiac chest pain in emergency departments,based on machine learning显示文摘To the Editor:Chest pain is one of the most common complaints for patients attending emergency departments(EDs)globally.It is important to accurately stratify risk of possible acute coronary syndrome(ACS)for these patients.[1]Several risk stratification scores such as thrombolysis in myocardial infarction(TIMI),global registry for acute coronary events(GRACE),Banach and HEART are helpful.[2]Previous research in our setting compared these four scores and found that the HEART score,with a C-statistic of 0.731,was the best for predicting 7-day major adverse cardiac events(MACE)The purpose of this study was to develop risk stratification prediction models for 7-day MACE in patients with chest pain,utilizing machine learning algorithms such as eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM).	Hai-Feng Mao Xiao-Hui Chen Yun-Mei Li Si-Yuan Zhang Jun-Rong Mo Min Li Pei-Yi Lin Timothy HRainer Colin AGraham Hui-Lin Jiang	2020	Chinese Medical Journal2020，，7：	0

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