Databases, big data and artificial intelligence
what healthcare professionals need to know about them
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References
Calude CS, Longo G. The Deluge of Spurious Correlations in Big Data. Found Sci. 2017;22:595-612. https://doi.org/10.1007/s10699-016-9489-4
Dash S, Shakyawar SK, Sharma M, et al. Big data in healthcare: management, analysis and future prospects. J Big Data. 2019;6:54. https://doi.org/10.1186/s40537-019-0217-0
Todde V, Giuliani A. Big Data. A briefing. Ann Ist Super Sanita. 2018;54(3):174-5. PMID: 30284542; https://doi.org/10.4415/ANN_18_03_02
Study on Big Data in Public Health, Telemedicine and Healthcare. Luxembourg: Publications Office of the European Union; 2016. Available from: https://health.ec.europa.eu/system/files/2016-12/bigdata_report_en_0.pdf Accessed in 2022 (Aug 19).
Mayerhoefer ME, Materka A, Langs G, et al. Introduction to Radiomics. J Nucl Med. 2020;61(4):488-95. PMID: 32060219; https://doi.org/10.2967/jnumed.118.222893
Falcoz PE, Brunelli A. The European general thoracic surgery database project. J Thorac Dis. 2014;6 Suppl 2(Suppl 2):S272-5. PMID: 24868445; https://doi.org/10.3978/j.issn.2072-1439.2014.04.20
Goldstraw P, Crowley J. The International Association for the Study of Lung Cancer International Staging Project on Lung Cancer. J Thorac Oncol. 2006;1(4):281-6. https://doi.org/10.1016/S1556-0864(15)31581-1
Sekine I, Shintani Y, Shukuya T, et al. A Japanese lung cancer registry study on demographics and treatment modalities in medically treated patients. Cancer Sci. 2020;111(5):1685-91. Erratum in: Cancer Sci. 2021;112(3):1332. PMID: 32103551; https://doi.org/10.1111/cas.14368