| Level
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Master +
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| OneLineSummary
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Improving MEDication Adherence through Person Centered Care and Adaptive Interventions +
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| Prerequisites
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Courses Artificial Intelligence, learning systems. Good knowledge in applied data science/machine learning. Ability to implement state-of-the-art machine learning algorithms in a programming environment of your choice. +
|
| References
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Definitions, variants, and causes of nonad … Definitions, variants, and causes of nonadherence with medication: a challenge for tailored interventions:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711878/
Predictors of Medication Adherence Using a Multidimensional Adherence Model in Patients with Heart Failure:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2603618/
A machine learning approach for medication adherence monitoring using body-worn sensors:
https://ieeexplore.ieee.org/document/7459425
Machine Learning Classification of Medication Adherence in Patients with Movement Disorders Using Non-Wearable Sensors:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729888/.ncbi.nlm.nih.gov/pmc/articles/PMC5729888/
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| StudentProjectStatus
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Open +
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| Supervisors
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Sławomir Nowaczyk +
, Alexander Galozy +
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| Title
|
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions +
|
| Categories |
StudentProject +
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| Modification dateThis property is a special property in this wiki.
|
20 October 2018 21:33:41 +
|
