250 citations · 453 across the 6 of their papers we have counts for
6 papers
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Yifang Dang, Fang Li, Xinyue Hu +11
Social determinants of health (SDoH) have a significant impact on health outcomes and well-being. Addressing SDoH is the key to reducing healthcare inequalities and transforming a…
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing
Yi Nian, Xinyue Hu, Rui Zhang +5
To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and h…
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This…
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Qingyu Chen, Jingcheng Du, Sun Kim +2
Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general…
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning
Jingcheng Du, Chongliang Luo, Qiang Wei +2
In this study, we proposed a convolutional neural network model for gender prediction using English Twitter text as input. Ensemble of proposed model achieved an accuracy at 0.8237…
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du, Qingyu Chen, Yifan Peng +3
In multi-label text classification, each textual document can be assigned with one or more labels. Due to this nature, the multi-label text classification task is often considered…