Pre-trained language models in biomedical domain: A systematic survey
Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …
language processing tasks. This also benefits the biomedical domain: researchers from …
KG-MTT-BERT: Knowledge graph enhanced BERT for multi-type medical text classification
Medical text learning has recently emerged as a promising area to improve healthcare due
to the wide adoption of electronic health record (EHR) systems. The complexity of the …
to the wide adoption of electronic health record (EHR) systems. The complexity of the …
Improving cause-of-death classification from verbal autopsy reports
In many lower-and-middle income countries including South Africa, data access in health
facilities is restricted due to patient privacy and confidentiality policies. Further, since clinical …
facilities is restricted due to patient privacy and confidentiality policies. Further, since clinical …
Identification of cybersecurity specific content using different language models
O Mendsaikhan, H Hasegawa… - Journal of Information …, 2020 - jstage.jst.go.jp
Given the sheer amount of digital texts publicly available on the Internet, it becomes more
challenging for security analysts to identify cyber threat related content. In this research, we …
challenging for security analysts to identify cyber threat related content. In this research, we …
Deep Magnitude Management of Clinical Code Embeddings to Predict Unplanned Hospital Readmissions
The rate of unplanned hospital readmissions is a relevant indicator of the quality of care
provided. From a financial point of view, unplanned readmissions are costly for patients and …
provided. From a financial point of view, unplanned readmissions are costly for patients and …
[PDF][PDF] RPMF: In-hospital Mortality Risk Prediction based on Multimodal Fusion
C Ding, S Geng, Q Song, Y Liu, Y Zhao, X Zhang… - poster-openaccess.com
In predicting mortality and disease risk, deep learning in clinical decision-support
technology to analyze structured electronic health records (EHR) has been a highly …
technology to analyze structured electronic health records (EHR) has been a highly …