Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nathaniel Stockham"'
Autor:
Nathaniel Stockham, Peter Washington, Brianna Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis Paul Wall
Publikováno v:
JMIR Public Health and Surveillance, Vol 8, Iss 7, p e31306 (2022)
BackgroundSelection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are particularly dangerous in internet-based public health surveillance, where traditiona
Externí odkaz:
https://doaj.org/article/839c8f34d70d47f990ed7d35df1f5b24
Autor:
Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, Peter Washington, Dennis Paul Wall
Publikováno v:
JMIR Biomedical Engineering, Vol 7, Iss 1, p e33771 (2022)
BackgroundA formal autism diagnosis can be an inefficient and lengthy process. Families may wait several months or longer before receiving a diagnosis for their child despite evidence that earlier intervention leads to better treatment outcomes. Digi
Externí odkaz:
https://doaj.org/article/a35b11c21fad4bb0ad83918245daa711
Autor:
Peter Washington, Qandeel Tariq, Emilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline, Haik Kalantarian, Yordan Penev, Kelley Paskov, Catalin Voss, Nathaniel Stockham, Maya Varma, Arman Husic, Jack Kent, Nick Haber, Terry Winograd, Dennis P. Wall
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Standard medical diagnosis of mental health conditions requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently annotate behav
Externí odkaz:
https://doaj.org/article/7c1e977803b04ec7833a0f2e6600ab08
Autor:
Peter Washington, Ritik Patnaik, Jessey Schwartz, Brianna Chrisman, Parishkrita Srivastava, Maya Varma, Nick Haber, Aaron Kline, Kelley Paskov, Dennis P. Wall, Catalin Voss, Natalie Park, Nathaniel Stockham, Qandeel Tariq, Haik Kalantarian
Publikováno v:
Biol Psychiatry Cogn Neurosci Neuroimaging
Data science and digital technologies have the potential to transform diagnostic classification. Digital technologies enable the collection of big data, and advances in machine learning and artificial intelligence enable scalable, rapid, and automate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee4c4c5ca33995260644ec2b1cc38f02
https://doi.org/10.1016/j.bpsc.2019.11.015
https://doi.org/10.1016/j.bpsc.2019.11.015
Autor:
Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, Peter Washington, Dennis Paul Wall
BACKGROUND A formal autism diagnosis can be an inefficient and lengthy process. Families may wait several months or longer before receiving a diagnosis for their child despite evidence that earlier intervention leads to better treatment outcomes. Dig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56203e0c604b5642bfa2f35793eafa2
https://doi.org/10.2196/preprints.33771
https://doi.org/10.2196/preprints.33771
Autor:
Nathaniel Stockham, Peter Washington, Brianna Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis Paul Wall
BACKGROUND Selection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are particularly dangerous in internet-based public health surveillance, where tradition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30edca53f94c7a5eee4df3d706f9f269
https://doi.org/10.2196/preprints.31306
https://doi.org/10.2196/preprints.31306
Autor:
Kaitlyn Dunlap, Terry Winograd, Nathaniel Stockham, Dennis P. Wall, Emilie Leblanc, Qandeel Tariq, Brianna Chrisman, Peter Washington, Catalin Voss, Kelley Paskov, Jack Kent, Haik Kalantarian, Arman Husic, Nick Haber, Aaron Kline, Maya Varma, Yordan Penev
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Standard medical diagnosis of mental health conditions requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently annotate behavioral fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa43ca42f61cb8702e0c2b11a575ae83
https://doi.org/10.1038/s41598-021-87059-4
https://doi.org/10.1038/s41598-021-87059-4
Autor:
Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, Peter Washington, Dennis Paul Wall
A formal autism diagnosis can be an inefficient and lengthy process. Families may wait months or longer before receiving a diagnosis for their child despite evidence that earlier intervention leads to better treatment outcomes. Digital technologies w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d0d452be293d1b72b5eca017e04b211
Autor:
Peter Washington, Emilie Leblanc, Qandeel Tariq, Haik Kalantarian, Yordan Penev, Nick Haber, Brianna Chrisman, Aaron Kline, Jack Kent, Kaitlyn Dunlap, Catalin Voss, Arman Husic, Nathaniel Stockham, Dennis P. Wall, Terry Winograd, Maya Varma, Kelley Paskov
Standard medical diagnosis of mental health conditions often requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently label features ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8f9a84242059f11416be2bd316698f
https://doi.org/10.1101/2020.12.15.20248283
https://doi.org/10.1101/2020.12.15.20248283
Autor:
Peter Washington, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nathaniel Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47a2e63c0604fb94f5b59d0069ca666a
https://doi.org/10.2196/preprints.14950
https://doi.org/10.2196/preprints.14950