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Public Response to Obamacare on Twitter

Public Response to Obamacare on Twitter

In this study, tweet sentiment was measured using labMT, a lexicon developed by Dodds et al based on human review of terms from language used in Twitter, Google Books, music lyrics, and the New York Times) [24].

Matthew A Davis, Kai Zheng, Yang Liu, Helen Levy

J Med Internet Res 2017;19(5):e167


The Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled Trials

The Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled Trials

weeksDepressionCES-DMean differenceNo effectNSBorosund, [27] 2014, Sweden6 monthsDepressionHADSMean difference compared with controlWebchoice: -0.79; IPPC: 0.69.03; .03Duffecy, [15] 2013, USA8 weeksDepressionHADSMean difference0.26--Gotay, [25] 2007, USA3 monthsDepressionCES-DOdds

Stephen O Agboola, Woong Ju, Aymen Elfiky, Joseph C Kvedar, Kamal Jethwani

J Med Internet Res 2015;17(3):e65