Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. [electronic resource]
Producer: 20191119Description: 68-78 p. digitalISSN:- 1532-0480
- Algorithms
- Congenital Abnormalities -- diagnosis
- Data Collection -- methods
- Data Mining -- methods
- Europe
- False Positive Reactions
- Female
- Georgia
- Heart Defects, Congenital -- diagnosis
- Humans
- Illinois
- Infant
- Infant, Newborn
- International Classification of Diseases
- Machine Learning
- Male
- Natural Language Processing
- Pregnancy
- Reproducibility of Results
- Social Media
- Unified Medical Language System
- United States
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Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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