D2.3 / Initial report on domain review and datasets
D2.3 / Initial report on domain review and datasets
This document has been written by the AI-PROGNOSIS project partners under the EU Horizon Europe RIA program (Grant Agreement No 101080581). The document presents the literature review performed to delineate the State-of-the-Art to date in predicting Parkinson’s disease (PD) risk, PD progression and response to medication. It also summarizes the relevant digital technologies that are currently available. Based on the literature review findings and the available digital technologies, we have requested access to various datasets and biobanks containing health and genetic information. A detailed list is outlined in the current document. Additionally, harmonisation and curation techniques to be employed on these datasets are presented. The review is a preliminary document and will be updated throughout the project's first two years to provide a final version and meet the project’s objectives.
Balance, Bradykinesia, Daytime somnolence, Parkinson's disease, Posture, Cognitive decline, Digital assessments, Clinical factors, Lifestyle factors, PD progression, Modelling, Data harmonisation, Medication response, Polygenic risk score, PD risk, Machine learning, State-of-the-art, GWAS, Domain review, Gait, Literature review, Dyskinesias, REM behaviour disorder, Rest tremor, opaminergic, Rigidity, Genetic markers, Digital technologies, Demographic factors, Dataset
Balance, Bradykinesia, Daytime somnolence, Parkinson's disease, Posture, Cognitive decline, Digital assessments, Clinical factors, Lifestyle factors, PD progression, Modelling, Data harmonisation, Medication response, Polygenic risk score, PD risk, Machine learning, State-of-the-art, GWAS, Domain review, Gait, Literature review, Dyskinesias, REM behaviour disorder, Rest tremor, opaminergic, Rigidity, Genetic markers, Digital technologies, Demographic factors, Dataset
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