Electronic Health Records include health-related information, among which there is text
mentioning health conditions and diagnoses. Usually, text is also coded using appropriate …

Electronic health records provide a vast amount of text health data written by physicians as
patient clinical notes. The world health organization released the international classification …

Introduction Inconsistencies of reports contributes to the underreporting of Alzheimer's
disease (AD) on death certificates. Whether underreporting exists within South Carolina has …

A fundamental task for epidemiology, statistics, and health informatics is to associate some
standardized meaning to textual expressions, to enable their retrieval, aggregation and …

We detail a deep learning approach based on the transformer architecture for performing
fake news detection. The proposed approach is composed of a deep learning network which …

Objective For ICD-10 coding causes of death in France in 2018 and 2019, predictions by
deep neural networks (DNNs) are employed in addition to fully automatic batch coding by a …

We leverage generative NLP-based models, specifically Transformer-Based models, for
multi-horizon univariate and multivariate power consumption forecasting. We apply our …

A crucial process for world-level mortality statistics is the capability to identify the underlying
cause of death from death certificates. Currently such certificates are coded using ICD-10 …

Classifying free-text from historical databases into research-compatible formats is a barrier
for clinicians undertaking audit and research projects. The aim of this study was to (a) …

The detection of contaminants in several environments (eg, air, water, sewage systems) is of
paramount importance to protect people and predict possible dangerous circumstances …