This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Machine Learning (1465) Natural Language Processing (692) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Opioid and Related Substance Misuse (147) Pharmacovigilance (134) Substance Abuse (419) Infoveillance and Social Listening (209)

Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15861, first published .
Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

Authors of this article:

Karen O'Connor1 Author Orcid Image ;   Abeed Sarker2 Author Orcid Image ;   Jeanmarie Perrone3 Author Orcid Image ;   Graciela Gonzalez Hernandez1 Author Orcid Image
Article Authors Cited by (14) Tweetations (15) Metrics

Journals

  1. Al-Garadi M, Yang Y, Cai H, Ruan Y, O’Connor K, Graciela G, Perrone J, Sarker A. Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  3. Bitterman D, Miller T, Mak R, Savova G. Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer. International Journal of Radiation Oncology*Biology*Physics 2021;110(3):641 View
  4. Yang Y, Al-Garadi M, Love J, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open 2021;4(2) View
  5. Poulsen M, Freda P, Troiani V, Davoudi A, Mowery D. Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing. Frontiers in Public Health 2022;10 View
  6. Al-Garadi M, Yang Y, Guo Y, Kim S, Love J, Perrone J, Sarker A. Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use. Health Data Science 2022;2022 View
  7. Acuña Caicedo R, Gómez Soriano J, Melgar Sasieta H. Bootstrapping semi-supervised annotation method for potential suicidal messages. Internet Interventions 2022;28:100519 View
  8. Elhamdadi H, Canavan S, Rosen P. AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing. IEEE Transactions on Visualization and Computer Graphics 2022;28(1):769 View
  9. Nishiyama T, Yada S, Wakamiya S, Hori S, Aramaki E. Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e44870 View
  10. Yuan Y, Liu X, Zhang S, Srinivasan K. Gender and racial price disparities in the NFT marketplace. International Journal of Research in Marketing 2024 View
  11. Xiao M, Pang Q, Zhu Y, Shuai L, Jin G. Construction, evaluation, and application of an electronic medical record corpus for cerebral palsy rehabilitation. DIGITAL HEALTH 2024;10 View
  12. Durán-Silva N, Carrillo-de-Albornoz J, Plaza L, Ricardo S, Massucci F, Veiga S, Ramos-Prats A. BATRACIO: BAsic, TRAnslational, Clinical, Research Phase Identification in BiOmedical Publications. IEEE Access 2024;12:146476 View

Books/Policy Documents

  1. Sarker A. Natural Language Processing in Biomedicine. View