Establishment of normal reference system in pediatric echocardiography based on BigData
	    		
		   		
		   			
		   		
	    	
    	 
    	10.3760/cma.j.issn.1004‐4477.2019.03.001
   		
        
        	
        		- VernacularTitle:基于大数据的儿科超声心动图标准参考体系建设
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Haomin LI
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Jin YU
			        		
			        		;
		        		
		        		
		        		
			        		Yuhong WANG
			        		
			        		;
		        		
		        		
		        		
			        		Huilong DUAN
			        		
			        		;
		        		
		        		
		        		
			        		Jing Jing YE
			        		
			        		;
		        		
		        		
		        		
			        		Jianhua LI
			        		
			        		;
		        		
		        		
		        		
			        		Qiang SHU
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. 浙江大学医学院附属儿童医院心脏中心
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Echocardiography;
			        		
			        		
			        		
				        		Normal reference system;
			        		
			        		
			        		
				        		Children;
			        		
			        		
			        		
				        		BigData;
			        		
			        		
			        		
				        		Z score
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Chinese Journal of Ultrasonography
	            		
	            		 2019;28(3):185-191
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
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		        	Abstract:
			       	
			       		
				        
				        	Objective To establish a pediatric echocardiographic normal reference system based on clinical BigData and overcome limitations such as insufficient sample size and diverse in methods of normalization . Methods Measurements were extracted from total 71 831 pediatric echocardiography reports in the past 5 years by using the Natural Language Processing ( NLP) technology . Among them ,a total of 12 732 reports were labeled as normal and were used to establish the normal reference system . A local regression ( LOESS ) approach was used to optimize both the reference value and variance across 5 grow th variables ( aortic diameter ,left atrium diameter ,left ventricle end‐diastolic endocardial diameter ,left main coronary artery diameter ,and right main coronary artery diameter) . T wo Z scores adjusted for age/sex and body surface area ( BSA ) were established respectively . In addition , 4 459 echocardiography reports with BSA information were used to evaluate these two Z scores . Results T wo Z scores generated from 4 459 reports showed pretty good normal distribution . T here were close strong correlations among two Z scores with Z scores generated based on the Pediatric Heart Network ( PHN ) . T he average correlation coefficient between BSA‐adjust Z scores and PHN Z scores was 0 .954 . T he average correlation coefficient between age/sex‐adjust Z scores and PHN Z scores was 0 .895 . T he results of this project were available as Z score calculator using the following link :http ://hdb .nbscn .org/zscore . Conclusions BigData provides a more efficient and better approach to establish normal reference systems in pediatric echocardiography .