Over the last decade, social media have been recognized as important sources of
biomedical data generated directly by patients/consumers. With over 80% of the United …

Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …

Objective: We present a narrative review of recent work on the utilisation of Natural
Language Processing (NLP) for the analysis of social media (including online health …

Natural language processing has been successfully leveraged to extract patient information
from unstructured clinical text. However the majority of the existing work targets at obtaining …

Social media platforms with large user bases such as Twitter, Reddit, and online health
forums contain a rich amount of health-related information. Despite the advances achieved …

Meaningful use of electronic health records (EHRs) for patient care or for research requires
data to be comparable. Many portions of EHRs continue to be unstructured, presenting …

Objectives: This paper reviews work over the past two years in Natural Language
Processing (NLP) applied to clinical and consumer-generated texts. Methods: We included …

Social media is becoming increasingly popular as a platform for sharing personal health-
related information. This information can be utilized for public health monitoring tasks such …

The amount of social media data dealing with medical and health issues increased
significantly in the last couple of years. Patients, physicians, and other health professionals …

Welcome to the 4th Social Media Mining for Health Applications Workshop and Shared Task-
# SMM4H 2019. The total number of users of social media continues to grow worldwide …