Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tyler Cheney"'
Autor:
Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Juan Fernandez-Diaz, Daniel Preston, Tyler Cheney, Jason Motsinger
Publikováno v:
EDIS, Vol 2013, Iss 1 (2013)
The goal of MicroWEX-9 was to conduct a season-long experiment that incorporated passive microwave observations as well as Light Detection and Ranging (LiDAR) observations for a growing season of elephant grass. The variety of sensors would allow for
Externí odkaz:
https://doaj.org/article/9ef703b38df64e88a3720bad283f1311
Autor:
Johnnie Young, Alexis M. May, AnnaBelle O. Bryan, Justin C. Baker, Cynthia J. Thomsen, Michelle D. Wine, Julia A. Harris, Kent D. Hinkson, Kimberly A. Arne, Timothy Hope, Kara B. Taylor, W. Cole Lawson, Craig A. Cunningham, Sean R. Williams, Michael H. Allen, Tyler Cheney, Craig J. Bryan, Kirsi L. White, William J. Russell, Logan Smith
Publikováno v:
Ann Fam Med
PURPOSE Over 95% of patients who screen positive on the Patient Health Questionnaire-9 (PHQ-9) suicide risk item do not attempt or die by suicide, which could lead to unnecessary treatment and/or misallocation of limited resources. The present study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afc57b2d5541583710ad77dffceb627a
https://pubmed.ncbi.nlm.nih.gov/34750123
https://pubmed.ncbi.nlm.nih.gov/34750123
Autor:
Greg Stoddard, Craig J. Bryan, Hilary A. Smith, Glen Coppersmith, Mike Conway, Tyler Cheney, Danielle L. Mowery
Publikováno v:
Journal of Medical Internet Research
Background: With a lifetime prevalence of 16.2%, major depressive disorder is the fifth biggest contributor to the disease burden in the United States. Objective: The aim of this study, building on previous work qualitatively analyzing depression-rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::095bd7cae60d1b14571fea1e927e2bd4
https://pubmed.ncbi.nlm.nih.gov/28246066
https://pubmed.ncbi.nlm.nih.gov/28246066
Publikováno v:
Online Journal of Public Health Informatics. 8
We present our work towards automatic monitoring of major depressive disorder at the population-level leveraging social media and natural language processing. In this pilot study, we manually annotated Twitter tweets i.e., whether the tweet conveys c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e526544ce15bc9623f29f40214246024
https://doi.org/10.5210/ojphi.v8i1.6561
https://doi.org/10.5210/ojphi.v8i1.6561