Human exposome assessment platform.
AI
Bioinformatics
Cohort
Data management
Exposome
FAIR
IaaS
Machine learning
PaaS
Journal
Environmental epidemiology (Philadelphia, Pa.)
ISSN: 2474-7882
Titre abrégé: Environ Epidemiol
Pays: United States
ID NLM: 101719527
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
02
02
2021
accepted:
14
11
2021
entrez:
15
12
2021
pubmed:
16
12
2021
medline:
16
12
2021
Statut:
epublish
Résumé
The Human Exposome Assessment Platform (HEAP) is a research resource for the integrated and efficient management and analysis of human exposome data. The project will provide the complete workflow for obtaining exposome actionable knowledge from population-based cohorts. HEAP is a state-of-the-science service composed of computational resources from partner institutions, accessed through a software framework that provides the world's fastest Hadoop platform for data warehousing and applied artificial intelligence (AI). The software, will provide a decision support system for researchers and policymakers. All the data managed and processed by HEAP, together with the analysis pipelines, will be available for future research. In addition, the platform enables adding new data and analysis pipelines. HEAP's final product can be deployed in multiple instances to create a network of shareable and reusable knowledge on the impact of exposures on public health.
Identifiants
pubmed: 34909561
doi: 10.1097/EE9.0000000000000182
pmc: PMC8663864
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e182Informations de copyright
Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest with regard to the content of this report.
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