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Predicting Participant Consent in mHealth Trials - A Caregiver's Perspective., , , and . Australasian J. of Inf. Systems, (2017)Developing eXtensible mHealth Solutions for Low Resource Settings., , , , and . MIKE, volume 8891 of Lecture Notes in Computer Science, page 361-371. Springer, (2014)Supporting LIFE: Mobile Health Application for Classifying, Treating and Monitoring Disease Outbreaks of Sick Children in Developing Countries., , , , and . DESRIST, volume 9073 of Lecture Notes in Computer Science, page 366-370. Springer, (2015)Sociocultural and Technological Barriers Across all Phases of Implementation for Mobile Health in Developing Countries, , , , and . Applied Computing in Medicine and Health, chapter 10, Elsevier and Morgan Kaufmann, Amsterdam, (2016)Establishing Long-Term Nursing Informatics Capacity in Malawi, Africa., , , , , and . Nursing Informatics, volume 225 of Studies in Health Technology and Informatics, page 1013-1014. IOS Press, (2016)Understanding community health workers' intentions to participate in mHealth studies within developing countries., , , and . Behav. Inf. Technol., 36 (7): 745-753 (2017)Variation in health care providers' perceptions: decision making based on patient vital signs., , , , , , and . J. Decis. Syst., 22 (3): 168-189 (2013)Wearable Vital Sign Sensors and Their Potential within Low and Middle Income Countries., , , , , , , , and . ECIS, (2015)Features of electronic Early Warning systems which impact clinical decision making., , , , , , , and . CBMS, page 1-4. IEEE Computer Society, (2012)Electronic-Early Warning Scorecard: An Intelligent Context Aware Decision Making Approach for Patient Monitoring., , , , , and . Handbook of Ambient Assisted Living, volume 11 of Ambient Intelligence and Smart Environments, IOS Press, (2012)