Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …

CCS Concepts:• Computing methodologies→ Machine learning approaches; Machine
learning;• Social and professional topics→ Computing/technology policy; Medical …

Accurate, automated extraction of clinical stroke information from unstructured text has
several important applications. ICD-9/10 codes can misclassify ischemic stroke events and …

Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act
(HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service …

Understanding medication events in clinical narratives is essential to achieving a complete
picture of a patient's medication history. While prior research has explored identification of …

Background A wealth of clinically relevant information is only obtainable within unstructured
clinical narratives, leading to great interest in clinical natural language processing (NLP) …

Negative medical findings are prevalent in clinical reports, yet discriminating them from
positive findings remains a challenging task for information extraction. Most of the existing …

Currently, intelligent systems built on a multimodal basis are used to study the functional
state of living objects. Its essence lies in the fact that a decision is made through several …

Background: Bleeding events are common and critical and may cause significant morbidity
and mortality. High incidences of bleeding events are associated with cardiovascular …

Background: Physicians' alert overriding behavior is considered to be the most important
factor leading to failure of computerized provider order entry (CPOE) combined with a …