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Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy

JOURNAL OF MEDICAL INTERNET RESEARCH (2023)

Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers

Ari Z. Klein et al.

Summary: This study examined the utility of Twitter data for analyzing the outcomes of pregnancies where beta-blockers were taken. The results suggest that Twitter can be a useful resource for cohort studies on drug safety during pregnancy.

JMIR FORMATIVE RESEARCH (2022)

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Article Health Care Sciences & Services

Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification

Ari Z. Klein et al.

Summary: This preliminary study aimed to use Twitter data to identify a cohort for epidemiologic studies of COVID-19 vaccination during pregnancy. By developing regular expressions and utilizing natural language processing tools, the study identified users who reported receiving COVID-19 vaccination during pregnancy and their pregnancy outcomes. Manual verification confirmed a portion of users received vaccination during pregnancy and reported outcomes, suggesting that Twitter can serve as a complementary resource to generate acceptance of COVID-19 vaccination in pregnant populations.

JMIR FORMATIVE RESEARCH (2022)

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Article Public, Environmental & Occupational Health

Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy

Su Golder et al.

DRUG SAFETY (2019)

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Article Computer Science, Interdisciplinary Applications

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter

Ari Z. Klein et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

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Article Computer Science, Interdisciplinary Applications

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

Abeed Sarker et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2018)

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Proceedings Paper Computer Science, Interdisciplinary Applications

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings Short Research Paper

Masoud Rouhizadeh et al.

DH '18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON DIGITAL HEALTH (2018)

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Article Health Care Sciences & Services

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Abeed Sarker et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2017)

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Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy

相关参考文献

Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers

Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification

Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings Short Research Paper

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

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