Quantified Complementary and Alternative Medicine: Convergence of Digital Health Technologies and Complementary and Alternative Medicine
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[1] Stephen Friend,et al. Unlocking stress and forecasting its consequences with digital technology , 2019, npj Digital Medicine.
[2] Oliver B. Regele,et al. Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity , 2019, npj Digital Medicine.
[3] John C. Earls,et al. A wellness study of 108 individuals using personal, dense, dynamic data clouds , 2017, Nature Biotechnology.
[4] John P. Sullivan,et al. A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations , 2018, Front. Physiol..
[5] Riccardo Miotto,et al. Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams , 2016, Briefings Bioinform..
[6] Elena Smets,et al. Large-scale wearable data reveal digital phenotypes for daily-life stress detection , 2018, npj Digital Medicine.
[7] H. Baumeister,et al. Digital Phenotyping and Mobile Sensing: New Developments in Psychoinformatics , 2019, Studies in Neuroscience, Psychology and Behavioral Economics.
[8] Atul J. Butte,et al. Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis , 2019, JAMA network open.
[9] Partho P Sengupta,et al. Mobile technology and the digitization of healthcare. , 2016, European Heart Journal.
[10] N. Jacobson,et al. Digital biomarkers of mood disorders and symptom change , 2019, npj Digital Medicine.