Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter - Klein, Ari Z.; Sarker, Abeed; Cai, Haitao; Weissenbacher, Davy; Gonzalez-Hernandez, Graciela (Journal of biomedical informatics, 2018)
Keywords: Algorithms; Birth defects; Cohort discovery; Congenital Abnormalities - diagnosis; Congenital Abnormalities - epidemiology; Data Collection - methods; Data Mining - methods; Epidemiology; 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; Patient-reported pregnancy outcomes; Pregnancy; Reproducibility of Results; Social Media; Social media mining; Unified Medical Language System; United States; Georgia; United States; Europe; Illinois; Social media mining; Natural language processing; Birth defects; Patient-reported pregnancy outcomes; Epidemiology; Cohort discovery