51 related articles for article (PubMed ID: 37113382)
1. Evaluating the Problem of Fraudulent Participants in Health Care Research: Multimethod Pilot Study.
Kumarasamy V; Goodfellow N; Ferron EM; Wright AL
JMIR Form Res; 2024 Jun; 8():e51530. PubMed ID: 38833292
[TBL] [Abstract][Full Text] [Related]
2. FDA Warning Letters: A Retrospective Analysis of Letters Issued to Pharmaceutical Companies from 2010-2020.
Rathore AS; Li Y; Chhabra H; Lohiya A
J Pharm Innov; 2022 Aug; ():1-10. PubMed ID: 35992018
[TBL] [Abstract][Full Text] [Related]
3. Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media.
Wu J; Sivaraman V; Kumar D; Banda JM; Sontag D
ArXiv; 2021 Feb; ():. PubMed ID: 33594339
[TBL] [Abstract][Full Text] [Related]
4. Social media mining under the COVID-19 context: Progress, challenges, and opportunities.
Huang X; Wang S; Zhang M; Hu T; Hohl A; She B; Gong X; Li J; Liu X; Gruebner O; Liu R; Li X; Liu Z; Ye X; Li Z
Int J Appl Earth Obs Geoinf; 2022 Sep; 113():102967. PubMed ID: 36035895
[TBL] [Abstract][Full Text] [Related]
5. Analysis of US Food and Drug Administration Warning Letters: False Promotional Claims Relating to Prescription and Over-the-Counter Medications.
Salas M; Martin M; Pisu M; McCall E; Zuluaga A; Glasser SP
Pharmaceut Med; 2008 Mar; 22(2):. PubMed ID: 24353430
[TBL] [Abstract][Full Text] [Related]
6. #ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.
Sarker A; Lakamana S; Guo Y; Ge Y; Leslie A; Okunromade O; Gonzalez-Polledo E; Perrone J; McKenzie-Brown AM
Health Data Sci; 2023; 3():. PubMed ID: 38333075
[TBL] [Abstract][Full Text] [Related]
7. Extending A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter to England, UK.
Golder S; Klein AZ; Magge A; O'Connor K; Cai H; Weissenbacher D; Gonzalez-Hernandez G
medRxiv; 2020 May; ():. PubMed ID: 32511492
[TBL] [Abstract][Full Text] [Related]
8. Detecting Early-Warning Signals in Time Series of Visits to Points of Interest to Examine Population Response to COVID-19 Pandemic.
Li Q; Tang Z; Coleman N; Mostafavi A
IEEE Access; 2021; 9():27189-27200. PubMed ID: 35781924
[TBL] [Abstract][Full Text] [Related]
9. Parallel path detection for fraudulent accounts in banks based on graph analysis.
Chen Z; Zhang S; Zeng X; Mei M; Luo X; Zheng L
PeerJ Comput Sci; 2023; 9():e1749. PubMed ID: 38192485
[TBL] [Abstract][Full Text] [Related]
10. Crystallography Databases Hunt for Fraudulent Structures.
Chawla DS
ACS Cent Sci; 2023 Oct; 9(10):1853-1855. PubMed ID: 37901172
[No Abstract] [Full Text] [Related]
11. Fraudulent Certificates from Germany.
Indep Pract; 1886 Nov; 7(11):652-653. PubMed ID: 37826482
[No Abstract] [Full Text] [Related]
12. Fraudulent Uses of Sulphuric Acid.
Letheby H
Med Exam (Phila); 1850 Jan; 6(61):70-74. PubMed ID: 38121572
[No Abstract] [Full Text] [Related]
13. The fraudulent we.
Ingelfinger FJ
N Engl J Med; 1971 Nov; 285(20):1144-5. PubMed ID: 5095741
[No Abstract] [Full Text] [Related]
14. COVID-19 Research in Brief: 13 June to 19 June, 2020.
Carvalho T
Nat Med; 2020 Jun; ():. PubMed ID: 34145439
[No Abstract] [Full Text] [Related]
15. COVID-19 Research in Brief: 6 June to 12 June, 2020.
Carvalho T
Nat Med; 2020 Jun; ():. PubMed ID: 34117460
[No Abstract] [Full Text] [Related]
16. COVID-19 Research in Brief: 30 May to 5 June, 2020.
Carvalho T
Nat Med; 2020 Jun; ():. PubMed ID: 32616913
[No Abstract] [Full Text] [Related]
17. The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.
Sarker A; Lakamana S; Liao R; Abbas A; Yang YC; Al-Garadi M
JMIR Infodemiology; 2023; 3():e43694. PubMed ID: 37113382
[TBL] [Abstract][Full Text] [Related]
18. Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification.
Turner J; Kantardzic M; Vickers-Smith R; Brown AG
JMIR Infodemiology; 2023; 3():e38390. PubMed ID: 36844029
[TBL] [Abstract][Full Text] [Related]
19. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies.
Muric G; Wu Y; Ferrara E
JMIR Public Health Surveill; 2021 Nov; 7(11):e30642. PubMed ID: 34653016
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
