UA-120290038-1 Data Mining and Adverse Birth Outcomes | CHILDREN'S ENVIRONMENTAL HEALTH | AOV

Data Mining and Adverse Birth Outcomes

DoMiNO Project

Exploring location of adverse birth outcomes and environmental factors by using computing sciences innovative methods

(Supported by CHRP CIHR/NSERC, 2013-2018)


Adverse birth outcomes (ABO), such as prematurity and low birth weight, have immediate and long-term health consequences, including severe emotional and economic impacts on society. This study will use new methods based on data mining to investigate the relationships among industrial emissions, wind patterns and different social factors (alone and in combination) with ABO.

We identified complex geo-spatial interactions between all these factors, where increased rates of ABO, specific industrial emissions, wind patterns and individual, social and economic factors co-exist. Maps present results.

This research includes the participation of investigators from different disciplines (computing sciences, neonatology, pediatrics, epidemiology, bio-statistics and knowledge translation) and interested stakeholders (knowledge users) from government (Health Canada), other research programs (Canadian Neonatal Network), The Alberta Perinatal Health Program and social organizations (the Canadian Partnership for Children's Health & Environment).

The study identified: 1) areas that require further investigation; 2) NPRI data can be used for the study of diseases and their relationship with industrial pollution; 3) a useful new method developed in this project for addressing complex health problems.

Knowledge gained in this study is helping us understand complex environmental factors with potential impact on ABO. See related publications here

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A Osornio Vargas 2019