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- W2989777435 abstract "Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end." @default.
- W2989777435 created "2019-12-05" @default.
- W2989777435 creator A5002365671 @default.
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- W2989777435 date "2019-08-01" @default.
- W2989777435 modified "2023-10-14" @default.
- W2989777435 title "Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations" @default.
- W2989777435 cites W152892474 @default.
- W2989777435 cites W1599361639 @default.
- W2989777435 cites W1626086977 @default.
- W2989777435 cites W1906820833 @default.
- W2989777435 cites W1981993448 @default.
- W2989777435 cites W1986052421 @default.
- W2989777435 cites W1988494453 @default.
- W2989777435 cites W1988534534 @default.
- W2989777435 cites W2001339909 @default.
- W2989777435 cites W2006292671 @default.
- W2989777435 cites W2011724578 @default.
- W2989777435 cites W2017162768 @default.
- W2989777435 cites W2021453132 @default.
- W2989777435 cites W2033596507 @default.
- W2989777435 cites W2036579652 @default.
- W2989777435 cites W2038537051 @default.
- W2989777435 cites W2046189898 @default.
- W2989777435 cites W2046940610 @default.
- W2989777435 cites W2060911968 @default.
- W2989777435 cites W2070527027 @default.
- W2989777435 cites W2072331737 @default.
- W2989777435 cites W2094678359 @default.
- W2989777435 cites W2095114534 @default.
- W2989777435 cites W2099054834 @default.
- W2989777435 cites W2103245769 @default.
- W2989777435 cites W2111957326 @default.
- W2989777435 cites W2120732622 @default.
- W2989777435 cites W2126771099 @default.
- W2989777435 cites W2131177593 @default.
- W2989777435 cites W2138147014 @default.
- W2989777435 cites W2146535845 @default.
- W2989777435 cites W2159732419 @default.
- W2989777435 cites W2169953925 @default.
- W2989777435 cites W2171273050 @default.
- W2989777435 cites W2181530591 @default.
- W2989777435 cites W2191578859 @default.
- W2989777435 cites W2201776847 @default.
- W2989777435 cites W2298025969 @default.
- W2989777435 cites W2339791333 @default.
- W2989777435 cites W2341682452 @default.
- W2989777435 cites W2521467979 @default.
- W2989777435 cites W2558041282 @default.
- W2989777435 cites W2565888045 @default.
- W2989777435 cites W2568218703 @default.
- W2989777435 cites W2571458373 @default.
- W2989777435 cites W2579191491 @default.
- W2989777435 cites W2588047317 @default.
- W2989777435 cites W2601585605 @default.
- W2989777435 cites W2616256335 @default.
- W2989777435 cites W2626095355 @default.
- W2989777435 cites W2690856491 @default.
- W2989777435 cites W2734770034 @default.
- W2989777435 cites W2739131133 @default.
- W2989777435 cites W2751988564 @default.
- W2989777435 cites W2754039296 @default.
- W2989777435 cites W2754158726 @default.
- W2989777435 cites W2754346778 @default.
- W2989777435 cites W2756038943 @default.
- W2989777435 cites W2761168960 @default.
- W2989777435 cites W2762189798 @default.
- W2989777435 cites W2764212526 @default.
- W2989777435 cites W2766495836 @default.
- W2989777435 cites W2768422310 @default.
- W2989777435 cites W2778572588 @default.
- W2989777435 cites W2782123222 @default.
- W2989777435 cites W2789220454 @default.
- W2989777435 cites W2789697350 @default.
- W2989777435 cites W2790665491 @default.
- W2989777435 cites W2790889084 @default.
- W2989777435 cites W2792017827 @default.
- W2989777435 cites W2793781541 @default.
- W2989777435 cites W2794214511 @default.
- W2989777435 cites W2800948866 @default.
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- W2989777435 cites W2889622065 @default.
- W2989777435 cites W2891963428 @default.
- W2989777435 cites W2917600742 @default.
- W2989777435 cites W2963546486 @default.
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- W2989777435 doi "https://doi.org/10.1016/j.gpb.2018.10.007" @default.
- W2989777435 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6943761" @default.
- W2989777435 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31786313" @default.
- W2989777435 hasPublicationYear "2019" @default.
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