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The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence.

, , , , , and . J. Am. Medical Informatics Assoc., 24 (3): 619-632 (2017)

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The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence., , , , , and . J. Am. Medical Informatics Assoc., 24 (3): 619-632 (2017)Time to change the paradigm? A mixed method study of the preferred and potential features of an asthma self-management app., , , and . Health Informatics J., 26 (2): 862-879 (2020)A self-management app to improve asthma control in adults with limited health literacy: a mixed-method feasibility study., , , , , , , , , and . BMC Medical Informatics Decis. Mak., 23 (1): 194 (December 2023)Application of Machine Learning to Support Self-Management of Asthma with mHealth., , , and . EMBC, page 5673-5677. IEEE, (2020)Effect of downsampling and compressive sensing on audio-based continuous cough monitoring., , , , , , and . EMBC, page 6231-6235. IEEE, (2015)Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy., , , , , , and . IJDC, 6 (2): 128-145 (2011)Compliance and Usability of an Asthma Home Monitoring System., , , , , and . PervasiveHealth, volume 488 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 116-126. Springer, (2022)