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Presentation
I work at the intersection of data science and digital health. My research interest is in combining the techniques of data mining and machine learning with visual analytics to design healthcare tools that can effectively present information in a manner that is both reliable and comprehensible.
Publications
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2023 | Article in journal
Quantifying Parkinson's disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol
Gent Ymeri, Dario Salvi, Carl Magnus Olsson, Myrthe Vivianne Wassenburg, Athanasios Tsanas, Per Svenningsson
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2023 | Conference paper
An IoT-based system for the study of neuropathic pain in spinal cord injury
Dario Salvi, Gent Ymeri, Daniel Jimeno, Vanesa Soto-Léon, Yolanda Pérez Borrego, Carl Magnus Olsson, Carmen Carrasco-Lopez
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2022 | Conference paper
Mobile-based multi-dimensional data collection for Parkinson’s symptoms in home environments
Gent Ymeri, Dario Salvi, Carl Magnus Olsson, Tsanas Thanasis, Per Svenningsson
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2022 | Conference paper
Linking data collected from mobile phones withsymptoms level in Parkinson’s Disease: Dataexploration of the mPower study
Gent Ymeri, Dario Salvi, Carl Magnus Olsson
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2022 | Conference paper
Mobistudy: Mobile-based, platform-independent, multi-dimensional data collection for clinical studies
Dario Salvi, Carl Magnus Olsson, Gent Ymeri, Carmen Carrasco-Lopez, Kevin C.H. Tsang, Seyed Ahmar Shah
Research Projects
You can find previous research projects in the Diva database.
