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LoMAPP

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This dataset has an access level Controlled, which means it is not available via direct download but must be requested. Our accessing research data guidance outlines the reasons access may be limited and the request process.

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* University of Bristol staff should use this form instead.

LoMAPP: Localisation state as a MedicAtion Proxy in Parkinson's disease. This dataset is linked to a paper published through the conference 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (https://kdd.org/kdd2023/). Title of paper: Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. Authors: Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan Whone. The dataset creation is described in this paper.

Creator(s) Ian Craddock, Emma Tonkin, Ryan McConville, Alan Whone, Catherine Morgan, Ferdian Jovan
Publication date 24 Aug 2023
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.3s3ab1sgszqy52escorp07ss8j
Citation Ian Craddock, Emma Tonkin, Ryan McConville, Alan Whone, Catherine Morgan, Ferdian Jovan (2023): LoMAPP. https://doi.org/10.5523/bris.3s3ab1sgszqy52escorp07ss8j
Total size 6.6 GiB