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....

Descripción completa

Detalles Bibliográficos
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:	Research
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)

AT-NeuroEAE: A Joint Extraction Model of Events With Attributes for Research Sharing-Oriented Neuroimaging Provenance Construction
por: Lin, Shaofu, et al.
Publicado: (2022)

In silico prediction and qPCR validation of novel sRNAs in Propionibacterium acnes KPA171202
por: Balgir, Praveen P., et al.
Publicado: (2016)

A Double-Primary Dead-Weight Tester for Pressures (35–175) kPa in Gage Mode
por: Jain, Kamlesh, et al.
Publicado: (2003)

High-Porosity Foam-Based Iontronic Pressure Sensor with Superhigh Sensitivity of 9280 kPa(−1)
por: Liu, Qingxian, et al.
Publicado: (2021)

Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation
por: Huang, Shaowei, et al.
Publicado: (2023)

Can an initial end-tidal CO(2) <1.33 kPa predict lack of return of spontaneous circulation during pre-hospital cardiac arrest?
por: Rognås, Leif, et al.
Publicado: (2014)

A one kPa centrifugal cold compressor for the 1.8 K helium refrigeration system of LHC
por: Saji, N, et al.
Publicado: (1998)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
por: Zeng, Zheni, et al.
Publicado: (2021)

A Liquid–Solid Interface-Based Triboelectric Tactile Sensor with Ultrahigh Sensitivity of 21.48 kPa(−1)
por: Liu, Jingya, et al.
Publicado: (2022)

Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification
por: Wang, Desheng, et al.
Publicado: (2023)

Shear-wave elastography for breast masses: local shear wave speed (m/sec) versus Young modulus (kPa)
por: Youk, Ji Hyun, et al.
Publicado: (2014)

Maternal mirror syndrome with foetal hydrops due to isoimunization by anti‐KPa antibodies: A case report and narrative literature review
por: Pina Moreno, Juan, et al.
Publicado: (2022)

Image Translation by Domain-Adversarial Training
por: Li, Zhuorong, et al.
Publicado: (2018)

MR-contrast-aware image-to-image translations with generative adversarial networks
por: Denck, Jonas, et al.
Publicado: (2021)

Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition
por: Lal, Sheeba, et al.
Publicado: (2021)

Longitudinal Prediction of Infant MR Images With Multi-Contrast Perceptual Adversarial Learning
por: Peng, Liying, et al.
Publicado: (2021)

Interpretable patent recommendation with knowledge graph and deep learning
por: Chen, Han, et al.
Publicado: (2023)

Cancer classification based on chromatin accessibility profiles with deep adversarial learning model
por: Yang, Hai, et al.
Publicado: (2020)

Single Image De-Raining via Improved Generative Adversarial Nets †
por: Ren, Yi, et al.
Publicado: (2020)

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
por: Joel, Marina Z., et al.
Publicado: (2022)

Disrupting adversarial transferability in deep neural networks
por: Wiedeman, Christopher, et al.
Publicado: (2022)

Dual U-Net-Based Conditional Generative Adversarial Network for Blood Vessel Segmentation with Reduced Cerebral MR Training Volumes
por: Quintana-Quintana, Oliver J., et al.
Publicado: (2022)

Adversarial training for b-tagging algorithms in CMS
por: CMS Collaboration
Publicado: (2022)

Evaluation of GAN-Based Model for Adversarial Training
por: Zhao, Weimin, et al.
Publicado: (2023)

Hippocampal subfields segmentation in brain MR images using generative adversarial networks
por: Shi, Yonggang, et al.
Publicado: (2019)

Motion correction in MR image for analysis of VSRAD using generative adversarial network
por: Yoshida, Nobukiyo, et al.
Publicado: (2022)

Adversarial Patch Attacks on Deep-Learning-Based Face Recognition Systems Using Generative Adversarial Networks
por: Hwang, Ren-Hung, et al.
Publicado: (2023)

Explanation and Exploration of the Isothermal Titration Curve for the NaCl + Na(2)SO(4) + H(2)O System at 298.15 K and 102.2 kPa
por: Zhang, Qian, et al.
Publicado: (2022)

Gaseous p–v–T Property Measurements for Titanium Tetrachloride from 873.0 to 1173.0 K and Low Pressure of 34.05 kPa
por: Wang, Wenhao, et al.
Publicado: (2020)

Multi-Conditional Constraint Generative Adversarial Network-Based MR Imaging from CT Scan Data
por: Liu, Mingjie, et al.
Publicado: (2022)

On the role of deep learning model complexity in adversarial robustness for medical images
por: Rodriguez, David, et al.
Publicado: (2022)

Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks
por: Cai, Likun, et al.
Publicado: (2020)

Distributed Training of Generative Adversarial Networks for Fast Simulation
por: Vallecorsa, Sofia, et al.
Publicado: (2019)

Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022)

Adversarially Training MCMC with Non-Volume-Preserving Flows
por: Liu, Shaofan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_hr580sep6k8lfjnup7cde2csif