A Deep Learning Approach for Predicting FDA’s 510(k) Medical Device Recalls Using Device Citation Relationships
- Yi Zhu ,
Yi Zhu
[email protected]https://orcid.org/0000-0002-5748-6940
Information Systems & Business Analytics, Kent State University, Kent, Ohio 44242
- Soumya Sen ,
Corresponding Author
Soumya Sen
[email protected]https://orcid.org/0000-0003-1190-477X
Information & Decision Sciences, University of Minnesota, Minneapolis, Minnesota 55455
- Alexander Everhart ,
Alexander Everhart
[email protected]Division of General Medicine & Geriatrics, Washington University in St. Louis, St. Louis, Missouri 63130
- Pinar Karaca-Mandic
Pinar Karaca-Mandic
[email protected]https://orcid.org/0000-0002-6682-1982
Finance, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455
Yi Zhu
[email protected]https://orcid.org/0000-0002-5748-6940
Information Systems & Business Analytics, Kent State University, Kent, Ohio 44242
Corresponding Author
Soumya Sen
[email protected]https://orcid.org/0000-0003-1190-477X
Information & Decision Sciences, University of Minnesota, Minneapolis, Minnesota 55455
Alexander Everhart
[email protected]Division of General Medicine & Geriatrics, Washington University in St. Louis, St. Louis, Missouri 63130
Pinar Karaca-Mandic
[email protected]https://orcid.org/0000-0002-6682-1982
Finance, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455

