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Methodological Gaps in Predicting Mental Health States from..:

, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems,

Ernala, Sindhu Kiranmai ; Birnbaum, Michael L. ; Candan, Kristin A.... - p. 1-16 , 2019

Link: https://dl.acm.org/doi/10.1145/3290605.3300364

RT 
T1 <cTitle>Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems</cTitle>: T1 <Title>Methodological Gaps in Predicting Mental Health States from Social Media				: Triangulating Diagnostic Signals</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3300364&Exemplar=1&LAN=DE
				
A1 Ernala, Sindhu Kiranmai
A1 Birnbaum, Michael L.
A1 Candan, Kristin A.
A1 Rizvi, Asra F.
A1 Sterling, William A.
A1 Kane, John M.
A1 De Choudhury, Munmun
PB ACM
YR 2019
K1 construct validity
K1 machine learning
K1 mental health
K1 population bias
K1 sampling bias
K1 social media
K1 validity theory
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Social media
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
SP 1
OP 16
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3290605.3300364
DO https://dl.acm.org/doi/10.1145/3290605.3300364
SF ELIB - SuUB Bremen

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