Klein, Ari Z <br/><br/>
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.  [electronic resource] 

 -  Journal of biomedical informatics  11 2018 
 - 68-78 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1532-0480 
<br/><br/><label>Standard No.: </label>10.1016/j.jbi.2018.10.001  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Congenital Abnormalities--diagnosis<br/>Data Collection--methods<br/>Data Mining--methods<br/>Europe<br/>False Positive Reactions<br/>Female<br/>Georgia<br/>Heart Defects, Congenital--diagnosis<br/>Humans<br/>Illinois<br/>Infant<br/>Infant, Newborn<br/>International Classification of Diseases<br/>Machine Learning<br/>Male<br/>Natural Language Processing<br/>Pregnancy<br/>Reproducibility of Results<br/>Social Media<br/>Unified Medical Language System<br/>United States