The spatial clustering of obesity: does the built environment matter?
about
Impact of Urban Neighborhood Disadvantage on Late Stage Breast Cancer Diagnosis in Virginia.Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative ComplicationsApplications of geographic information systems (GIS) data and methods in obesity-related research.Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.Fitness and food environments around junior high schools in Taiwan and their association with body composition: Gender differences for recreational, reading, food and beverage exposures.Neighbourhood typology based on virtual audit of environmental obesogenic characteristics.Socio-ecological factors and hand, foot and mouth disease in dry climate regions: a Bayesian spatial approach in Gansu, China.Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement PatternsGene-nutrient interactions and susceptibility to human obesity.A spatial analysis of dietary patterns in a large representative population in the north of The Netherlands - the Lifelines cohort study.A new method to visualize obesity prevalence in Seattle-King County at the census block level.The Spatial Distribution of Adult Obesity Prevalence in Denver County, Colorado: An Empirical Bayes Approach to Adjust EHR-Derived Small Area Estimates.Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data
P2860
Q30252967-33AC2B7D-0BE6-4D50-8549-16C72E37B651Q31103005-0C389751-7520-47A8-81EC-1F414D0A3481Q31159786-D8CC12C0-1806-4E5E-A1A5-19B95837E2DAQ36471932-B6376F2F-6A13-418D-82C8-E3B93F06D090Q38644367-942FC83D-0017-413E-9F45-C6840272462EQ39003777-00A1ED91-C7EF-45B5-AC91-F026BDD0A6EBQ39666022-68F86288-6507-4B41-A35D-414FC9D4F319Q40503312-5A7D99C6-92A1-489E-984C-15BD6431A639Q44777143-7D8905E9-1C9B-400F-B68F-505DC0CE1A04Q47171333-91A8E07E-4C41-4803-829B-6402CDEBBB4DQ50326186-F55F2F12-751D-4498-B25A-3F7BE6485B42Q55236661-3D7DA4E2-EB9D-4787-809E-C60340E99DD6Q58586002-CFB98B9B-9BBD-4AE9-92B5-787E418F37E8
P2860
The spatial clustering of obesity: does the built environment matter?
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
The spatial clustering of obesity: does the built environment matter?
@en
type
label
The spatial clustering of obesity: does the built environment matter?
@en
prefLabel
The spatial clustering of obesity: does the built environment matter?
@en
P2093
P2860
P356
P1476
The spatial clustering of obesity: does the built environment matter?
@en
P2093
P2860
P304
P356
10.1111/JHN.12279
P577
2014-10-03T00:00:00Z