An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction

Opioid overdose (OD) has become a leading cause of accidental death in the United States, and overdose deaths reached a record high during the COVID-19 pandemic. Combating the opioid crisis requires targeting high-need populations by identifying individuals at risk of OD. While deep learning emerges...

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Detalles Bibliográficos
Autores principales: Dong, Xinyu, Wong, Rachel, Lyu, Weimin, Abell-Hart, Kayley, Deng, Jianyuan, Liu, Yinan, Hajagos, Janos G., Rosenthal, Richard N., Chen, Chao, Wang, Fusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630306/
https://www.ncbi.nlm.nih.gov/pubmed/36628797
http://dx.doi.org/10.1016/j.artmed.2022.102439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630306/
https://www.ncbi.nlm.nih.gov/pubmed/36628797
http://dx.doi.org/10.1016/j.artmed.2022.102439

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