A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands

IF 3 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

International Journal of Health Geographics Pub Date : 2022-06-06 DOI:10.1186/s12942-022-00304-5

Markus Viljanen, L. Meijerink, L. Zwakhals, J. van de Kassteele

引用次数: 5

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小区域估计的机器学习方法:预测荷兰人口的健康、住房和福祉

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -

CiteScore

10.20

自引率

2.00%

发文量

审稿时长

12 weeks

期刊介绍： A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.