Pre-trained language models in biomedical domain: A systematic survey

B Wang, Q **e, J Pei, Z Chen, P Tiwari, Z Li… - ACM Computing …, 2023 - dl.acm.org
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 …

KG-MTT-BERT: Knowledge graph enhanced BERT for multi-type medical text classification

Y He, C Wang, S Zhang, N Li, Z Li, Z Zeng - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Improving cause-of-death classification from verbal autopsy reports

T Manaka, T van Zyl, D Kar - Southern African Conference for Artificial …, 2022 - Springer
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 …

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 …

Deep Magnitude Management of Clinical Code Embeddings to Predict Unplanned Hospital Readmissions

N Bignoumba, M Bertl, N Mellouli, SB Yahia - 2024 - researchsquare.com
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 …

[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 …