Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

[1] Harron K(2017)Challenges in administrative data linkage for research Big Data Soc 4 2053951717745678-594

[2] Dibben C(2014)Healthcare databases in Europe for studying medicine use and safety during pregnancy Pharmacoepidemiol Drug Saf 23 586-558

[3] Boyd J(2014)When the entire population is the sample: strengths and limitations in register-based epidemiology Eur J Epidemiol 29 551-136

[4] Hjern A(2015)A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: overview, recruitment and linkage Schizophr Res 166 131-430

[5] Azimaee M(2016)Linking databases on perinatal health: a review of the literature and current practices in Europe Eur J Pub Health 26 422-2354

[6] Barreto ML(2016)Adapting to artificial intelligence: radiologists and pathologists as information specialists JAMA 316 2353-450

[7] Goldstein H(2009)The SAIL databank: linking multiple health and social care datasets BMC Medical Informatics and Decision Making 9 3-e33

[8] Charlton RA(2017)Use of medical administrative data for the surveillance of psychotic disorders in France BMC Psychiatry 17 386-48

[9] Neville AJ(2013)Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity BMC Public Health 13 251-764

[10] Jordan S(2019)Identifying diabetes cases in health administrative databases: a validation study based on a large French cohort International Journal of Public Health 64 441-260

[1] Harron K(2017)Challenges in administrative data linkage for research Big Data Soc 4 2053951717745678-594

[2] Dibben C(2014)Healthcare databases in Europe for studying medicine use and safety during pregnancy Pharmacoepidemiol Drug Saf 23 586-558

[3] Boyd J(2014)When the entire population is the sample: strengths and limitations in register-based epidemiology Eur J Epidemiol 29 551-136

[4] Hjern A(2015)A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: overview, recruitment and linkage Schizophr Res 166 131-430

[5] Azimaee M(2016)Linking databases on perinatal health: a review of the literature and current practices in Europe Eur J Pub Health 26 422-2354

[6] Barreto ML(2016)Adapting to artificial intelligence: radiologists and pathologists as information specialists JAMA 316 2353-450

[7] Goldstein H(2009)The SAIL databank: linking multiple health and social care datasets BMC Medical Informatics and Decision Making 9 3-e33

[8] Charlton RA(2017)Use of medical administrative data for the surveillance of psychotic disorders in France BMC Psychiatry 17 386-48

[9] Neville AJ(2013)Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity BMC Public Health 13 251-764

[10] Jordan S(2019)Identifying diabetes cases in health administrative databases: a validation study based on a large French cohort International Journal of Public Health 64 441-260