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On the page
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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2024 | Conference paper
Usability of a Mobile Application for Patients with Parkinson’s Disease
Gent Ymeri, Benjamin Maus, Myrthe Wassenburg, Carl Magnus Olsson, Per Svenningsson, Dario Salvi
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2024 | Licentiate thesis, comprehensive summary
Machine Learning-Driven Analysis of Sensor Data for Objective Assessment of Parkinson's Disease Motor Symptoms in Home Environments
Gent Ymeri
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2024 | Conference paper
A Smartphone-Based Timed Up and Go Test for Parkinson’s Disease
Sara Caramaschi, Gent Ymeri, Carl Magnus Olsson, Athanasios Tsanas, Myrthe Wassenburg, Per Svenningsson, Dario Salvi
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2024 | Conference paper
Measuring finger dexterity in Parkinson's disease with mobile phones
Gent Ymeri, Nigel Sjolin Grech, Myrthe Wassenburg, Carl Magnus Olsson, Per Svenningsson, Dario Salvi
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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
Research Projects
You can find previous research projects in the Diva database.
