Published on in Vol 8, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11448, first published .
The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard

The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard

The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard

Journals

  1. Lee J, Lee Y, Kim D, Lee H, Yang B, Kim M. The Use of Social Media in Detecting Drug Safety–Related New Black Box Warnings, Labeling Changes, or Withdrawals: Scoping Review. JMIR Public Health and Surveillance 2021;7(6):e30137 View
  2. Li L, Grando A, Sarker A. A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids. Methods of Information in Medicine 2021;60(S 02):e111 View
  3. Wu H, Ji J, Tian H, Chen Y, Ge W, Zhang H, Yu F, Zou J, Nakamura M, Liao J. Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model. JMIR Medical Informatics 2021;9(12):e26407 View
  4. Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021 View
  5. Sarker A, Lakamana S, Guo Y, Ge Y, Leslie A, Okunromade O, Gonzalez-Polledo E, Perrone J, McKenzie-Brown A. #ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning. Health Data Science 2023;3 View
  6. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View