A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
A network-based drug repurposing method via non-negative matrix factorization
Motivation Drug repurposing is a potential alternative to the traditional drug discovery
process. Drug repurposing can be formulated as a recommender system that recommends …
process. Drug repurposing can be formulated as a recommender system that recommends …
A keyword-enhanced approach to handle class imbalance in clinical text classification
Recent applications ofdeep learning have shown promising results for classifying
unstructured text in the healthcare domain. However, the reliability of models in production …
unstructured text in the healthcare domain. However, the reliability of models in production …
From random to predictive: a context-specific interaction framework improves selection of drug protein–protein interactions for unknown drug pathways
With high drug attrition, protein–protein interaction (PPI) network models are attractive as
efficient methods for predicting drug outcomes by analyzing proteins downstream of drug …
efficient methods for predicting drug outcomes by analyzing proteins downstream of drug …
Performance Analysis of Resampling and Ensemble Learning Methods on Diabetes Detection as Imbalanced Dataset
FIE Sari, FW Edlim, FA Ramadhan… - 2022 Fifth …, 2022 - ieeexplore.ieee.org
Early detection of diabetes is essential to reducing a high mortality rate. Early detection can
be made by studying the possibility of diabetes from the variables obtained in the data of …
be made by studying the possibility of diabetes from the variables obtained in the data of …
[图书][B] Relational Modeling of Electronic Health Record Data for Clinical Prediction
T Wanyan - 2022 - search.proquest.com
Abstract Clinical Electronic Health Records (EHR) data is diverse, imbalanced,
heterogeneous, and contains a lot of missing values, yet the use of EHR data is still crucial …
heterogeneous, and contains a lot of missing values, yet the use of EHR data is still crucial …