1.Midlife and late-life blood pressure and vascular dementia: a population based observational study

作　　者：Mingkai Peng ;Guanmin Chen ;Karen Tange 等

出　　处：International Journal of Population Data Science. 2017 ;1(1):1-1.doi:10.23889/ijpds.v1i1.387

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文章 ID：255132834

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2.Under-coding of secondary conditions in coded hospital health data: impact of co-existing conditions, death status and number of codes in a record

作　　者：Mingkai Peng ;Danielle Southern ;Tyler Williamson 等

出　　处：International Journal of Population Data Science. 2017 ;1(1):1-1.doi:10.23889/ijpds.v1i1.55

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文章 ID：255132960

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3.Methods of defining hypertension in electronic medical records: validation against national survey data

作　　者：Mingkai Peng ;Guanmin Chen ;Gilaad Kaplan 等

出　　处：International Journal of Population Data Science. 2017 ;1(1):1-1.doi:10.23889/ijpds.v1i1.57

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文章 ID：255132961

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4.Constructing episodes of inpatient care: How to define hospital transfer in hospital administrative health data?

作　　者：Mingkai Peng ;Bing Li ;Danielle Southern 等

出　　处：International Journal of Population Data Science. 2017 ;1(1):1-1.doi:10.23889/ijpds.v1i1.182

出版社：

文章 ID：255132972

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5.Ensemble-based Classification Models for Predicting Post-Operative Mortality Risk in Coronary Artery Disease

作　　者：Anita Brobbey ;Peter Faris ;Alberto Nettel-Aguirre 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.877

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文章 ID：255133090

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6.Association rule mining to identify potential under-coding of conditions in the problem list in primary care electronic medical records

作　　者：Colin Weaver ;Stephanie Garies ;Tyler Williamson 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.622

出版社：

文章 ID：255133170

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7.Improving the Coding Completeness of Hypertension in Inpatient Administrative Health Data Using Machine Learning Methods

作　　者：Adam D'Souza ;Zhiyang Liang ;Tyler Williamson 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.946

出版社：

文章 ID：255133233

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8.Approaches to big data analysis of interface pressure measurements from continuous pressure imaging technology

作　　者：Mingkai Peng ;Wrechelle Ocampo ;Danielle Southern 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.752

出版社：

文章 ID：255133349

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9.Inferring sensitivity and specificity of phenotyping algorithms using positive and negative predictive value in validation study in observational health data

作　　者：Mingkai Peng ;Rosa Gini ;Tyler Williamson

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.951

出版社：

文章 ID：255133432

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10.Development and validation of data quality rules in administrative health data using association rule mining

作　　者：Mingkai Peng ;Sangmin (Sarah) Lee ;Maureen Kelly 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.945

出版社：

文章 ID：255133502

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	Mingkai Peng	12篇
	Hude Quan	9篇
	Tyler Williamson	5篇
	Danielle Southern	3篇
	Guanmin Chen	3篇

	Peter Faris	2篇
	Stephanie Garies	2篇
	Adam D'Souza	1篇
	Alberto Nettel-Aguirre	1篇
	Alicia Boxill	1篇
	Anita Brobbey	1篇
	Barry Baylis	1篇
	Bing Li	1篇
	Cassandra Linton	1篇
	Cathy A Eastwood	1篇
	Cathy Eastwood	1篇
	Chester Ho	1篇
	Colin Weaver	1篇
	David Hogan	1篇
	Eric Smith	1篇
	Gilaad Kaplan	1篇
	Jaime Kaufman	1篇
	John Conly	1篇
	Karen Carlson	1篇
	Karen Tange	1篇
	Kelsey Lucyk	1篇
	Kerry McBrien	1篇
	Laura Rutherford	1篇
	Lisa Lix	1篇
	Margaret Penchoff	1篇
	Mark Lowerison	1篇
	Maureen Kelly	1篇
	Neil Drummond	1篇
	Norman Campbell	1篇
	Paul E Ronksley	1篇
	Rachel J Jolley	1篇
	Rachel Joy Jolley	1篇
	Rosa Gini	1篇
	Sachin R Pendharkar	1篇
	Samuel Weibe	1篇

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检索条件:"( ( 高级检索(( ((AU:(("Mingkai Peng")))) )) ) )"

	2018	8篇
	2017	4篇