Paul Avillach

Publications

1. Phenome-wide profiling identifies genotype-phenotype associations in Phelan-McDermid syndrome using family-sourced data from an international registry. Mol Autism. 2024 09 30; 15(1):40. View Abstract
2. Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J Am Med Inform Assoc. 2023 06 20; 30(7):1293-1300. View Abstract
3. Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium. PLoS One. 2023; 18(1):e0266985. View Abstract
4. Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic. JAMA Netw Open. 2022 12 01; 5(12):e2246548. View Abstract
5. Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder. J Am Med Inform Assoc. 2022 01 12; 29(2):230-238. View Abstract
6. Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. Sci Rep. 2021 10 12; 11(1):20238. View Abstract
7. International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 10 11; 23(10):e31400. View Abstract
8. Finding commonalities in rare diseases through the undiagnosed diseases network. J Am Med Inform Assoc. 2021 07 30; 28(8):1694-1702. View Abstract
9. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420. View Abstract
10. A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J Am Med Inform Assoc. 2021 06 12; 28(6):1265-1269. View Abstract
11. International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596. View Abstract
12. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219. View Abstract
13. GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets. Brief Bioinform. 2021 01 18; 22(1):55-65. View Abstract
14. Vascular and metabolic risk factor differences prior to dementia diagnosis: a multidatabase case-control study using European electronic health records. BMJ Open. 2020 11 14; 10(11):e038753. View Abstract
15. Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services. J Am Med Inform Assoc. 2020 09 01; 27(9):1425-1430. View Abstract
16. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109. View Abstract
17. Development and validation of a Paediatric Early Warning Score for use in the emergency department: a multicentre study. Lancet Child Adolesc Health. 2020 08; 4(8):583-591. View Abstract
18. A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM. Stud Health Technol Inform. 2020 Jun 16; 270:18-22. View Abstract
19. Treatment pathway analysis of newly diagnosed dementia patients in four electronic health record databases in Europe. Soc Psychiatry Psychiatr Epidemiol. 2021 Mar; 56(3):409-416. View Abstract
20. Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study. Alzheimers Res Ther. 2020 04 06; 12(1):38. View Abstract
21. Non-alcoholic fatty liver disease and risk of incident acute myocardial infarction and stroke: findings from matched cohort study of 18 million European adults. BMJ. 2019 10 08; 367:l5367. View Abstract
22. The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system. Genet Med. 2020 02; 22(2):371-380. View Abstract
23. Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. Eur J Epidemiol. 2019 Feb; 34(2):153-162. View Abstract
24. Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease. BMC Med. 2018 08 13; 16(1):130. View Abstract
25. Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Med Inform Decis Mak. 2018 05 29; 18(1):30. View Abstract
26. Adverse obstetric and neonatal outcomes complicated by psychosis among pregnant women in the United States. BMC Pregnancy Childbirth. 2018 05 02; 18(1):120. View Abstract
27. Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. Bioinformatics. 2018 04 15; 34(8):1431-1432. View Abstract
28. Adverse obstetric outcomes during delivery hospitalizations complicated by suicidal behavior among US pregnant women. PLoS One. 2018; 13(2):e0192943. View Abstract
29. Health assessment of French university students and risk factors associated with mental health disorders. PLoS One. 2017; 12(11):e0188187. View Abstract
30. Phelan-McDermid syndrome data network: Integrating patient reported outcomes with clinical notes and curated genetic reports. Am J Med Genet B Neuropsychiatr Genet. 2018 10; 177(7):613-624. View Abstract
31. Dementia prevalence and incidence in a federation of European Electronic Health Record databases: The European Medical Informatics Framework resource. Alzheimers Dement. 2018 02; 14(2):130-139. View Abstract
32. CodeMapper: semiautomatic coding of case definitions. A contribution from the ADVANCE project. Pharmacoepidemiol Drug Saf. 2017 Aug; 26(8):998-1005. View Abstract
33. The Georges Pompidou University Hospital Clinical Data Warehouse: A 8-years follow-up experience. Int J Med Inform. 2017 06; 102:21-28. View Abstract
34. Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project. PLoS One. 2016; 11(8):e0160648. View Abstract
35. An informatics research agenda to support precision medicine: seven key areas. J Am Med Inform Assoc. 2016 07; 23(4):791-5. View Abstract
36. Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies. EGEMS (Wash DC). 2016; 4(1):1189. View Abstract
37. Evaluating the Impact of Computerized Provider Order Entry on Medical Students Training at Bedside: A Randomized Controlled Trial. PLoS One. 2015; 10(9):e0138094. View Abstract
38. Detection of Drug-Drug Interactions Inducing Acute Kidney Injury by Electronic Health Records Mining. Drug Saf. 2015 Sep; 38(9):799-809. View Abstract
39. [Limiting a Medline/PubMed query to the "best" articles using the JCR relative impact factor]. Rev Epidemiol Sante Publique. 2014 Dec; 62(6):361-5. View Abstract
40. Guide to good practices to ensure privacy protection in secondary use of medical records. Rev Epidemiol Sante Publique. 2014 Jun; 62(3):207-14. View Abstract
41. Etiologies and diagnostic work-up of extreme macrocytosis defined by an erythrocyte mean corpuscular volume over 130°fL: A study of 109 patients. Am J Hematol. 2014 Jun; 89(6):665-6. View Abstract
42. Translational research platforms integrating clinical and omics data: a review of publicly available solutions. Brief Bioinform. 2015 Mar; 16(2):280-90. View Abstract
43. Signal detection of potentially drug-induced acute liver injury in children using a multi-country healthcare database network. Drug Saf. 2014 Feb; 37(2):99-108. View Abstract
44. Urinary retinol binding protein is a marker of the extent of interstitial kidney fibrosis. PLoS One. 2014; 9(1):e84708. View Abstract
45. Phenome-wide association studies on a quantitative trait: application to TPMT enzyme activity and thiopurine therapy in pharmacogenomics. PLoS Comput Biol. 2013; 9(12):e1003405. View Abstract
46. Gathering and exploring scientific knowledge in pharmacovigilance. PLoS One. 2013; 8(12):e83016. View Abstract
47. Characteristics and outcomes of sudden cardiac arrest during sports in women. Circ Arrhythm Electrophysiol. 2013 Dec; 6(6):1185-91. View Abstract
48. Drug-induced acute myocardial infarction: identifying 'prime suspects' from electronic healthcare records-based surveillance system. PLoS One. 2013; 8(8):e72148. View Abstract
49. Major regional disparities in outcomes after sudden cardiac arrest during sports. Eur Heart J. 2013 Dec; 34(47):3632-40. View Abstract
50. Pilot evaluation of an automated method to decrease false-positive signals induced by co-prescriptions in spontaneous reporting databases. Pharmacoepidemiol Drug Saf. 2014 Feb; 23(2):186-94. View Abstract
51. A reference standard for evaluation of methods for drug safety signal detection using electronic healthcare record databases. Drug Saf. 2013 Jan; 36(1):13-23. View Abstract
52. The EU-ADR Web Platform: delivering advanced pharmacovigilance tools. Pharmacoepidemiol Drug Saf. 2013 May; 22(5):459-67. View Abstract
53. Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project. J Am Med Inform Assoc. 2013 May 01; 20(3):446-52. View Abstract
54. Effect of competition bias in safety signal generation: analysis of a research database of spontaneous reports in France. Drug Saf. 2012 Oct 01; 35(10):855-64. View Abstract
55. Risk factors and clinical outcome of unsuspected pulmonary embolism in cancer patients: a case-control study. J Thromb Haemost. 2012 Oct; 10(10):2032-8. View Abstract
56. Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project. J Am Med Inform Assoc. 2013 Jan 01; 20(1):184-92. View Abstract
57. Automatic filtering and substantiation of drug safety signals. PLoS Comput Biol. 2012; 8(4):e1002457. View Abstract
58. EU-ADR healthcare database network vs. spontaneous reporting system database: preliminary comparison of signal detection. Stud Health Technol Inform. 2011; 166:25-30. View Abstract
59. A potential competition bias in the detection of safety signals from spontaneous reporting databases. Pharmacoepidemiol Drug Saf. 2010 Nov; 19(11):1166-71. View Abstract
60. Design and evaluation of a semantic approach for the homogeneous identification of events in eight patient databases: a contribution to the European EU-ADR project. Stud Health Technol Inform. 2010; 160(Pt 2):1085-9. View Abstract
61. A semantic approach for the homogeneous identification of events in eight patient databases: a contribution to the European eu-ADR project. Stud Health Technol Inform. 2009; 150:190-4. View Abstract
62. Using discharge abstracts to evaluate a regional perinatal network: assessment of the linkage procedure of anonymous data. Int J Telemed Appl. 2009; 2009:181842. View Abstract
63. Improving the quality of the coding of primary diagnosis in standardized discharge summaries. Health Care Manag Sci. 2008 Jun; 11(2):147-51. View Abstract
64. Using knowledge for indexing health web resources in a quality-controlled gateway. Stud Health Technol Inform. 2008; 136:205-10. View Abstract
65. Building application-related patient identifiers: what solution for a European country? Int J Telemed Appl. 2008; 678302. View Abstract
66. A model for indexing medical documents combining statistical and symbolic knowledge. AMIA Annu Symp Proc. 2007 Oct 11; 31-5. View Abstract
67. Interoperability issues regarding patient identification in Europe. Annu Int Conf IEEE Eng Med Biol Soc. 2007; 2007:6161. View Abstract
68. Proposal of a French health identification number interoperable at the European level. Stud Health Technol Inform. 2007; 129(Pt 1):503-7. View Abstract
69. How to manage secure direct access of European patients to their computerized medical record and personal medical record. Stud Health Technol Inform. 2007; 127:246-55. View Abstract
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