Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media
A healthcare social media research article published in bioRxiv,
- Title
- Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media
- Authors (alpha)
- Andrew J. Schaumberg, Auru00e9lien Morini, Betul Duygu Sener, Bin Xu, Bobbi S. Pritt, Carlos Miguel, Celina Stayerman, Corina Rusu, Dauda E. Suleiman, Hongyu Yang, Jerad M. Gardner, John Gross, Karra A. Jones, Kathia Rosado-Orozco, Khanh Ho, Laura G. Pastriu00e1n, Mariam Aly, Mario Prieto Pozuelo, Nusrat Zahra, Olaleke O. Folaranmi, Ricardo Sotillo Su00e1nchez, Rola H. Ali, S. Joseph Sirintrapun, Sanjay Mukhopadhyay, Sarah J. Choudhury, Srinivas Rao Annavarapu, Stephen Yip, Thomas J. Fuchs, Wendy C. Juarez-Nicanor, Yale Rosen
- Journal
- bioRxiv
- DOI
- 10.1101/396663
- Altmetric
Altmetric
The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.
Healthcare Social Media Research
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#hcsmR is a collaboration between Stanford Medicine X and Symplur.
