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The use of technology in Suicide Prevention., , , , , , , , and . EMBC, page 7316-7319. IEEE, (2015)Kernel-based features for predicting population health indices from geocoded social media data., , , , , , , and . Decis. Support Syst., (2017)Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features., , , , , , , and . WWW (Companion Volume), page 99-107. ACM, (2017)Estimation of the prevalence of adverse drug reactions from social media., , , , , and . Int. J. Medical Informatics, (2017)Online Social Networking and the Experience of Cyber-Bullying., and . Annual Review of Cybertherapy and Telemedicine, volume 181 of Studies in Health Technology and Informatics, IOS Press, (2012)Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices., , , , , , , , and . Future Gener. Comput. Syst., (2020)We Feel: Mapping Emotion on Twitter., , , , , and . IEEE J. Biomed. Health Informatics, 19 (4): 1246-1252 (2015)Online Social Networking Amongst Teens: Friend or Foe?, and . Annual Review of Cybertherapy and Telemedicine, volume 167 of Studies in Health Technology and Informatics, IOS Press, (2011)Using linguistic and topic analysis to classify sub-groups of online depression communities., , , , , and . Multim. Tools Appl., 76 (8): 10653-10676 (2017)Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues., , , , , and . WISE (2), volume 9419 of Lecture Notes in Computer Science, page 216-224. Springer, (2015)