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Digital drug safety surveillance: monitoring pharmaceutical products in twitter

Digital drug safety surveillance: monitoring pharmaceutical products in twitter

http://www.wikidata.org/entity/Q33579843

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Crowdsourcing in biomedicine: challenges and opportunities A curated and standardized adverse drug event resource to accelerate drug safety research Patient Participation and the Use of Ehealth Tools for Pharmacoviligance Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review Utilizing social media data for pharmacovigilance: A review Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.Can Twitter Be a Source of Information on Allergy? Correlation of Pollen Counts with Tweets Reporting Symptoms of Allergic Rhinoconjunctivitis and Names of Antihistamine Drugs Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health Medication-indication knowledge bases: a systematic review and critical appraisal Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter Computational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworks Online Work Force Analyzes Social Media to Identify Consequences of an Unplanned School Closure - Using Technology to Prepare for the Next Pandemic.Evaluating Social Media Networks in Medicines Safety Surveillance: Two Case Studies Use of data mining at the Food and Drug Administration.Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data.Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study.Can social media data lead to earlier detection of drug-related adverse events?Exploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies.Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis.Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations.Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.What are health-related users tweeting? A qualitative content analysis of health-related users and their messages on twitter Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study.Portable automatic text classification for adverse drug reaction detection via multi-corpus training.Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology.The Canary in the Coal Mine Tweets: Social Media Reveals Public Perceptions of Non-Medical Use of Opioids.Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.Using Literature-Based Discovery to Explain Adverse Drug Effects.Social media and pharmacovigilance: A review of the opportunities and challenges.Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams.Systematic review of surveillance by social media platforms for illicit drug use.Patterns of Treatment Switching in Multiple Sclerosis Therapies in US Patients Active on Social Media: Application of Social Media Content Analysis to Health Outcomes Research.The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action.Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter.Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts Analysis of Patient Narratives in Disease Blogs on the Internet: An Exploratory Study of Social Pharmacovigilance Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.ADR Reporting by the General Public: Lessons Learnt from the Dutch and Swedish Systems.

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Digital drug safety surveillance: monitoring pharmaceutical products in twitter

http://www.wikidata.org/entity/Q33579843

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2014 nî lūn-bûn

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2014 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2014 թվականի մայիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Digital drug safety surveillance: monitoring pharmaceutical products in twitter

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Digital drug safety surveillance: monitoring pharmaceutical products in twitter

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Christopher M Menone

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Clark C Freifeld

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Ross Filice

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P2860

HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports

Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance

ADESSA: A Real-Time Decision Support Service for Delivery of Semantically Coded Adverse Drug Event Data.

Complication rates after hip or knee arthroplasty in morbidly obese patients

Social media in public health.

Web-scale pharmacovigilance: listening to signals from the crowd.

Using Facebook to increase spontaneous reporting of adverse drug reactions.

Social media and networks in pharmacovigilance: boon or bane?

Disproportionality analysis for signal detection of implantable cardioverter-defibrillator-related adverse events in the Food and Drug Administration Medical Device Reporting System.

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5

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37

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John Brownstein

Nabarun Dasgupta

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2014-05-01T00:00:00Z

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261956146

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