Noise2NAKO: AI Methods Linking Environment and Health - a Large-Scale Cohort Application

Behzadi, Sahar and Wolf, Kathrin and Peters, Annette and Schneider, Alexandra and Valizadeh, Mahyar and zu Castell, Wolfgang and Staab, Jeroen and Taubenböck, Hannes (2021) Noise2NAKO: AI Methods Linking Environment and Health - a Large-Scale Cohort Application. In: Helmholtz AI Virtual Conference Abstract Book, p. 1. Helmholtz AI Virtual Conference, 2021-04-14 - 2021-04-15, Online.

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Official URL: https://www.helmholtz.ai/index.php?id=53973

Item URL in elib:

https://elib.dlr.de/141911/

Document Type:

Conference or Workshop Item (Poster)

Title:

Noise2NAKO: AI Methods Linking Environment and Health - a Large-Scale Cohort Application

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Behzadi, Sahar	Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany	UNSPECIFIED	UNSPECIFIED
Wolf, Kathrin	Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany	UNSPECIFIED	UNSPECIFIED
Peters, Annette	Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany	UNSPECIFIED	UNSPECIFIED
Schneider, Alexandra	Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany	UNSPECIFIED	UNSPECIFIED
Valizadeh, Mahyar	Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany	UNSPECIFIED	UNSPECIFIED
zu Castell, Wolfgang	Helmholtz Zentrum Muenchen	https://orcid.org/0000-0003-2820-6564	UNSPECIFIED
Staab, Jeroen	UNSPECIFIED	https://orcid.org/0000-0002-7342-4440	UNSPECIFIED
Taubenböck, Hannes	UNSPECIFIED	https://orcid.org/0000-0003-4360-9126	UNSPECIFIED

Date:

14 April 2021

Journal or Publication Title:

Helmholtz AI Virtual Conference Abstract Book

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Page Range:

p. 1

Status:

Published

Keywords:

Ensemble Learning, Deep Learning, Distribution Regression Network, Regression, Deep Regression Model, Deep Neural Network, Ensemble Methods, Interpretable AI/ML, Earth Observation, Satellite, Noise, Health, NAKO Cohort, Hypertension

Event Title:

Helmholtz AI Virtual Conference

Event Location:

Online

Event Type:

national Conference

Event Start Date:

14 April 2021

Event End Date:

15 April 2021

Organizer:

Helmholtz Artificial Intelligence Cooperation Unit

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - Remote Sensing and Geo Research

Location:

Oberpfaffenhofen

Institutes and Institutions:

German Remote Sensing Data Center > Geo Risks and Civil Security

Deposited By:

Staab, Jeroen

Deposited On:

29 Apr 2021 12:24

Last Modified:

24 Apr 2024 20:42

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