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Smartphone data offers objective assessment for chronic disease symptoms

Researchers have developed a method to assess fatigue, sleep, and activity levels in patients with neurodegenerative and inflammatory diseases using smartphone data. This approach aims to provide a more objective and reliable measurement compared to traditional patient-reported outcomes, which can be subjective and less sensitive to changes. The study involved 137 participants across six disease groups and a healthy control group, analyzing the correlation between screen time and app usage with PRO scores. AI

IMPACT This research could lead to more objective and continuous monitoring of chronic disease patients, potentially improving treatment efficacy and patient outcomes.

RANK_REASON The item is an academic paper published on arXiv detailing a new methodology for assessing patient symptoms. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

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Smartphone data offers objective assessment for chronic disease symptoms

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Julian Fierrez, Alejandro Pe\~na, Aythami Morales, Ruben Tolosana, Ruben Vera-Rodriguez, Meenakshi Chatterjee, Ahmaniemi Teemu, Wan-Fai Ng, Walter Maetzler, Nikolay V. Manyakov, Jennifer Kudelka, Ralf Reilmann, C. Janneke van der Woude, Kristen Davies, V… ·

    Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases

    arXiv:2608.06380v1 Announce Type: cross Abstract: Fatigue, sleep, or disturbances in daily activities are common symptoms among patients with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). The current assessment of such symptoms is usually con…