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Novel methods to quantify health in benefit risk assessment. A case study on fish
Persson, Inez Maria
(PhD Student)
Pires, Sara Monteiro
(Supervisor)
Poulsen, Morten
(Supervisor)
Axelstad Petersen, Marta Zofia
(Examiner)
Darmon, Nicole
(Examiner)
Nauta, Maarten
(Main Supervisor)
Warensjö Lemming, Eva
(Examiner)
National Food Institute
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/02/2016
→
14/08/2019
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
fish
Agriculture & Biology
100%
nutrients
Agriculture & Biology
44%
quadratic programming
Agriculture & Biology
44%
Dietary Guidelines
Agriculture & Biology
35%
dietary recommendations
Agriculture & Biology
33%
dioxins
Agriculture & Biology
31%
consumer preferences
Agriculture & Biology
29%
vitamin D
Agriculture & Biology
29%
Research output
Research output per year
2019
2019
2019
1
Ph.D. thesis
Research output per year
Research output per year
On Optimization of Personalized Fish Intake Recommendations
Persson, I. M.
,
2019
, Kgs. Lyngby, Denmark:
Technical University of Denmark
.
110 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
fish
100%
nutrients
44%
quadratic programming
44%
Dietary Guidelines
35%
dietary recommendations
33%
214
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