Cargando…
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network
BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spot in smart healthcare. For developing computational medication recommendation methods based on EMR, an important challenge is the lack of a large number of longitudinal EMR data with time correlation....
Autores principales: | Lin, Shaofu, Wang, Mengzhen, Shi, Chengyu, Xu, Zhe, Chen, Lihong, Gao, Qingcai, Chen, Jianhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762031/ https://www.ncbi.nlm.nih.gov/pubmed/36536291 http://dx.doi.org/10.1186/s12859-022-05102-1 |
Ejemplares similares
-
GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery
por: Lin, Shaofu, et al.
Publicado: (2022) -
EEG functional connectivity is sensitive for nitrogen narcosis at 608 kPa
por: Vrijdag, Xavier C. E., et al.
Publicado: (2022) -
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems
por: Wang, Siyu, et al.
Publicado: (2022) -
Drug knowledge discovery via multi-task learning and pre-trained models
por: Li, Dongfang, et al.
Publicado: (2021) -
Adversarial training and deep k-nearest neighbors improves adversarial defense of glaucoma severity detection
por: Riza Rizky, Lalu M., et al.
Publicado: (2022)