Uncovering and understanding differences in health behaviours in people with diabetes

Project description

Machine learning identifies risk factors for diabetes

Fields of science

• social sciences › sociology › demography › mortality
• medical and health sciences › clinical medicine › endocrinology › diabetes
• medical and health sciences › health sciences › nutrition
• natural sciences › chemical sciences › organic chemistry › alcohols
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.4. - SPREADING EXCELLENCE AND WIDENING PARTICIPATION Main Programme

Topic(s)

• WF-03-2020 - Widening Fellowships

Call for proposal

H2020-WF-2018-2020

See other projects for this call

Sub call

H2020-WF-03-2020

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

LISER - LUXEMBOURG INSTITUTE OF SOCIO-ECONOMIC RESEARCH

Net EU contribution

€ 178 320,00

Address

11 Porte Des Sciences Campus Bleval
4366 Esch Sur Alzette
Luxembourg

Region

Luxembourg › Luxembourg › Luxembourg

Activity type

Research Organisations

Links

Other funding

€ 0,00