Exploratory analysis of machine learning approaches for surveillance of Zika‐associated birth defects

RT @SocBirthDefects: Congratulations to the authors of the Wilson Publication Award for their cutting-edge use of machine learning technolo…

RT @SocBirthDefects: Congratulations to the authors of the Wilson Publication Award for their cutting-edge use of machine learning technolo…

Congratulations to the authors of the Wilson Publication Award for their cutting-edge use of machine learning technology to identify infants affected by Zika. https://t.co/J9KubjHB3T @WileyGenetics Also, don’t miss the presentation at #BDRP2021! https://t

Using machine learning approaches in the surveillance of #Zika‐associated birth defects. #GPHO https://t.co/lq4pO9XvVD

Using machine learning approaches in the surveillance of #Zika‐associated birth defects. #GPHO https://t.co/wwjd11adAq

Using machine learning approaches in the surveillance of Zika‐associated birth defects. #precisionpublichealth https://t.co/0J9foFivQz

RT @MuinJKhoury: Using machine learning approaches in the surveillance of Zika‐associated birth defects. #precisionpublichealth https://t.c…

Using machine learning approaches in the surveillance of Zika‐associated birth defects. #precisionpublichealth https://t.co/XeNjxLnWfb https://t.co/FRr6uB4nFe