Machine learning-based health environmental-clinical risk scores in European children.
Jean-Baptiste GuimbaudAlexandros P SiskosAmrit Kaur SakhiBarbara HeudeEduard SabidóEva BorràsHector KeunJohn WrightJordi JulvezJose UrquizaKristine Bjerve GützkowLeda ChatziMaribel CasasMariona BustamanteMark NieuwenhuijsenMartine VrijheidMónica López-VicenteMontserrat de Castro PascualNikos StratakisOliver RobinsonRegina GrazulevicieneRemy SlamaSilvia AlemanyXavier BasaganaMarc PlantevitRémy CazabetLéa MaitrePublished in: Communications medicine (2024)
Besides their usefulness for epidemiological research, our risk scores show great potential to capture holistic individual level non-hereditary risk associations that can inform practitioners about actionable factors of high-risk children. As in the post-genetic era personalized prevention medicine will focus more and more on modifiable factors, we believe that such integrative approaches will be instrumental in shaping future healthcare paradigms.