Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case

ICEES (Integrated Clinical and Environmental Exposures Service) provides a disease-agnostic, regulatory-compliant approach for openly exposing and analyzing clinical data that have been integrated at the patient level with environmental exposures data. ICEES is equipped with basic features to suppor...

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Autores principales:	Bo Lan, Perry Haaland, Ashok Krishnamurthy, David B. Peden, Patrick L. Schmitt, Priya Sharma, Meghamala Sinha, Hao Xu, Karamarie Fecho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	open data open science machine learning conditional random forest conditional tree biostatistics Medicine R
Acceso en línea:	https://doaj.org/article/fa200d2750dc4b699791f5ec817ac702
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Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case

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