Detalhe da pesquisa
1.
ChemMaps.com v2.0: exploring the environmental chemical universe.
Nucleic Acids Res
; 51(W1): W78-W82, 2023 07 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37194699
2.
Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review.
J Med Internet Res
; 25: e36667, 2023 02 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36848191
3.
InterPred: a webtool to predict chemical autofluorescence and luminescence interference.
Nucleic Acids Res
; 48(W1): W586-W590, 2020 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32421835
4.
Pain points in parents' interactions with newborn screening systems: a qualitative study.
BMC Pediatr
; 22(1): 167, 2022 03 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-35361157
5.
Consumer-Generated Discourse on Cannabis as a Medicine: Scoping Review of Techniques.
J Med Internet Res
; 24(11): e35974, 2022 11 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-36383417
6.
A Scoping Review and Content Analysis of Common Depressive Symptoms of Young People.
J Sch Nurs
; 38(1): 74-83, 2022 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-33944636
7.
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.
J Biomed Inform
; 90: 103091, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30611893
8.
Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities.
J Med Internet Res
; 20(4): e121, 2018 04 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-29636316
9.
Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community.
J Med Internet Res
; 19(3): e71, 2017 03 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-28320692
10.
Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study.
J Med Internet Res
; 19(2): e48, 2017 02 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-28246066
11.
Substance use-related stigma: an exploratory study of search behavior using Google trends (2004-2021).
Am J Drug Alcohol Abuse
; 48(4): 504-506, 2022 07 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35579609
12.
Ethical issues in using Twitter for population-level depression monitoring: a qualitative study.
BMC Med Ethics
; 17: 22, 2016 Apr 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-27080238
13.
Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.
J Biomed Inform
; 58: 280-287, 2015 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-26556646
14.
What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques.
J Med Internet Res
; 17(9): e220, 2015 Sep 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-26420469
15.
Ethical issues in using Twitter for public health surveillance and research: developing a taxonomy of ethical concepts from the research literature.
J Med Internet Res
; 16(12): e290, 2014 Dec 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-25533619
16.
Automatic Extraction of Skin and Soft Tissue Infection Status from Clinical Notes.
Stud Health Technol Inform
; 310: 579-583, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269875
17.
Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use.
Stud Health Technol Inform
; 310: 659-663, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269891
18.
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling.
J Cheminform
; 16(1): 19, 2024 Feb 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-38378618
19.
Using chief complaints for syndromic surveillance: a review of chief complaint based classifiers in North America.
J Biomed Inform
; 46(4): 734-43, 2013 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-23602781
20.
Using twitter to examine smoking behavior and perceptions of emerging tobacco products.
J Med Internet Res
; 15(8): e174, 2013 Aug 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-23989137