Electronic Health Records (EHRs) allows patients to control, share, and manage their health
records among family members, friends, and healthcare service providers using an open …

This paper presents a framework for public healthcare data acquisition and management
model based on standard protocol for its easy adoption by any country or international …

Clinical notes in electronic health records contain highly heterogeneous writing styles,
including non-standard terminology or abbreviations. Using these notes in predictive …

Background and aim Depression is often accompanied by thoughts of self-harm, which are a
strong predictor of subsequent suicide attempt and suicide death. Few empirical data are …

This work focuses on the creation of a system to detect negated medical entities in electronic
health records (EHRs) written in Spanish. The importance of this task rests on the influence …

Healthcare is transforming through adoption of information technologies (IT) and
digitalization. Machine learning (ML) and artificial intelligence (AI) are two of the IT …

Background and objective This work aims at extracting Adverse Drug Reactions (ADRs), ie a
harm directly caused by a drug at normal doses, from Electronic Health Records (EHRs) …

COS597E Advanced NLP Page 1 Can Machines Read Jmulbed Senetcnes? COS597E
Advanced NLP Runzhe Yang, Zhongqiao Gao 2019.01.14 Page 2 Motivation “For emaxlpe, it …

For many chronic diseases, an individual patient may experience a wide variety of progres-
sion pathways. Personalized medicine needs tools to predict the trajectory of an individual …

In intensive care units, most patients are usually in critical conditions which require
physicians to make immediate diagnosis and treatments. However, not every patient could …