1 | The EHDEN Portal – Simplifying the access to OMOP CDM databases | João Rafael Almeida, Nigel Hughes, Peter Rijnbeek, José Luís Oliveira |
2 | Privacy-preserving using k-anonymity and l-diversity in OMOP CDM databases | João Rafael Almeida, José Luís Oliveira |
3 | The Dutch ICU Data Warehouse: towards a standardized multicenter electronic health record database | Ameet Jagesar, Martijn Otten, Tariq Dam, Laurens Biesheuvel, Patrick Thoral, Armand Girbes, Harm-Jan de Grooth, Paul Elbers |
4 | Community Contribution to the OHDSI Vocabularies, User-Level QA and a New Entity Mapping System SSSOM | Oleg Zhuk, Anna Ostropolets, Nicolas Matentzoglu, Melissa Haendel, Alexander Davydov, Christian Reich |
5 | Extract, Transform, and Load of the Infectious Disease CDM for Harmonizing and Accessing Data in Real-time Infectious Disease Surveillance | Byungjin Choi, Junhyuk Chang, Soobeen Seol, Seongwon Lee, Rae Woong Park |
6 | Roadmap and improvement of OHDSI Vocabularies | Christian Reich, Alexander Davydov, Anna Ostropolets |
7 | Integrating the OMOP CDM into the AI Sandbox of the German Health Data Lab | Elham Taghizadeh, Maxim Moinat |
8 | ARACHNE Execution Engine – Next Generation: Adaptive runtime environment to run federated studies | Sergey Suvorov, Adam Black, Alexey Manoylenko, Vitaly Koulakov, Konstantin Yaroshovets, Gregory Klebanov |
9 | European Health Data & Evidence Network – Learnings from Building out a Standardized International Health Data Network | Erica A. Voss, Clair Blacketer, Sebastiaan van Sandijk, Maxim Moinat, Michael Kallfelz, Michel Van Speybroeck, Dani Prieto-Alhambra, Martijn J. Schuemie, Peter R Rijnbeek |
10 | Mapping Data of Patients with Hematological Malignancies to the OMOP Common Data Model: A Case Study of Chronic lymphocytic Leukemia | Evangelia Minga, Dimitra Chamou, Thomas Chatzikonstantinou, Pantelis Natsiavas, Kostas Stamatopoulos, Evangelos Handakas, Anastasia Chatzidimitriou |
11 | An Evaluation and maintenance of cohorts and concept sets the in OMOP Vocabulary Evolution | Dmitry Dymshyts, Frank DeFalco, Anthony Molinaro, Clair Blacketer |
12 | Standardization of the French national database SNDS in OMOP-CDM | Gaëlle Rimaud , Cécile Charles, Elena Mylonas, Gil Lampe, Lorien Benda |
13 | The LAISDAR project – hospital EHR harmonization in Rwanda through mapping to OMOP CDM; outcome, challenges and lessons learned | Lars Halvorsen, Jared Houghtaling, Emma Gesquiere, Benjamin Burke, Charles Rurangae, Marc Twagirumukizah, Gilbert Rukundo, Clarisse Musanabaganwa, Claude Mambo Muvunyi, Jean Claude Semuto Ngabonziza, Aurore Nishimwe |
14 | The EHDEN Academy – Solidifying Our Foundations | LH John, R Los, M Miani, P Nagy, I Soininen, R Tischler, PR Rijnbeek |
15 | Standardizing European sarcoma registry data to the OMOP Common Data Model | Maaike van Swieten, Vittoria Ramella, Anna Alloni, Matteo Gabetta, Peter Prinsen, Chiara Attanasio, Espen Enerly, Siri Larønningen, Roberto Lillini, Paolo Lasalvia, Joanna Szkandera, Stefan Janisch, Andreas Muth, Emelie Styring, Julien Bollard, Annalisa Trama, Gijs Geleijnse |
16 | Implementation of the ARES application to monitor network-wide data quality and mapping coverage for 16 unique OMOP sources across Rwanda | Jared Houghtaling, Emma Gesquiere, Lars Halvorsen, Marc Twagirumukiza, and Charles Ruranga |
17 | Framework and approach to establish a multi-registry OMOP cluster with shared OHDSI tooling and access specificity | Jared Houghtaling, Emma Gesquiere, Lisa McDowell, Cathy Enright, Claire Donohoe, Tom Feusels, Lars Halvorsen |
18 | Hierarchical clustering of microbial resistance profiles and ventilation protocols using the oncology extension | Jared Houghtaling, Frederic Jung, Ankur Krishnan, Marc Padros Goossens, Frank Leus, Lauren Maxwell, Tom Feusels, Freija Descamps |
19 | Capture and consolidation of renal specific concepts into a cohesive OMOP dataset | Jared Houghtaling, Jose Antonio Ramírez García, Clémence Le Cornec, Lore Vermeylen, Nir Assaraf, Lars Halvorsen |
20 | Creation of a reusable OMOP transformation workflow for Belgian electronic health record systems | Jared Houghtaling, Lore Vermeylen, Louise Vandenbroucke, Korneel Bernaert, Brecht Dekeyser, Freija Descamps |
21 | Construction of a central ontology platform for semantic mapping coordination and vocabulary augmentation across a multi-partner oncology consortium | Jared Houghtaling, Peter Prinsen, Maaike van Swieten, Chiara Attanasio, Lars Halvorsen |
22 | Application of the R-CDM extension to capture metadata and features extracted from quantitative brain MRI and CT data | Jelle Praet, Jared Houghtaling, Frederic Jung, Steve De Backer, Jeroen Pinxten and Dirk Smeets |
23 | NNRD-AI: a national neonatal research database for rapid insights with machine learning and artificial intelligence | Julia Lanoue, Kayleigh Ougham, Neena Modi, Sam Greenbury |
24 | OMOP-CDM Data conversion for the Papageorgiou General Hospital in Greece | Achilleas Chytas, Maria Bigaki, Pantelis Natsiavas |
25 | Development of a GA4GH Beacon for structured Clinical Data Discovery using the OMOP-CDM | Alberto Labarga, Sergi Aguiló |
26 | Quality Management System of the OHDSI Standardized Vocabularies | Vlad Korsik, Anna Ostropolets, Christian Reich, Alexander Davydov |
27 | Transforming Estonian cancer data to episode table in OMOP | Marek Oja, Sirli Tamm, Raivo Kolde |
28 | Transforming EBMT Registry to the OMOP Common Data Model | Maria Paula Busto, Marina Atlija, Freija Descamps, Ben Burke |
29 | Automatic Data Import from OMOP to REDCap | Matteo Gabetta, Francesco Pozzoni, Mauro Bucalo, Cristiana Larizza, Nicola Barbarini |
30 | DARWIN EU®: Assessing the data quality at data partner onboarding | Maxim Moinat, Anne van Winzum |
31 | Building an OMOP CDM repository from OpenEHR: implementation experience of INFOBANCO | Miguel Pedrera-Jiménez, Antonio Díaz Holgado, David Moner-Cano, Paula Rubio-Mayo, Noelia García-Barrio, Julián Jiménez-Carramiñana, Diego Boscá-Tomás, Juan Luis Cruz-Bermúdez, Javier de la Cruz-Bertolo, José Luis Bernal-Sobrino, Pablo Serrano-Balazote |
32 | A Simple Standard for Sharing Ontological Mappings (SSSOM) Workshop for OHDSI Europe | Nicolas Matentzoglu, Melissa Haendel |
33 | Conceptual architecture for the Digital Oncology Network for Europe – an OMOP based European federated, automated cancer care quality ecosystem | Olivier Bouissou, Ismini Chatzitheofilou, Gennaro Ciliberto, Marco Denti, Xosé Fernández, Dennis Kadioglu, Stelios Theophanous, Joëlle Thonnard, Alberto Traverso, Piers Mahon |
34 | Building a European cancer OMOP network in hospitals with limited OMOP experience using tiered and modular protocolised research | Atif Adam and Piers Mahon |
35 | Data OMOPisation of cancer data at Cliniques universitaires Saint-Luc | Joëlle Thonnard, Frédéric Calay, Audrey Timmermans, Cédric Van Marcke |
36 | OMOP for oncology data: a single-centre and network perspective | Stelios Theophanous, Kieran Zucker, Louise Hick, Edward Bolton, Majid Riaz, Hayley Fenton, John Corkett, Sue Cheeseman, Geoff Hall |
37 | Oslo University Hospital Participation in a European Cancer OMOP Network | Olivier Bouissou, Ingrid K. S. Hanto, Elisabeth Ross |
38 | The DigiONE FORGE Approach to Providing OMOP Oncology Data for Federated Analyses | Daniel Maier, Fabienne A. U. Fox, Abishaa Vengadeswaran, Andrea Wolf, Christian Brandts, Daniel P. Brucker, Holger Storf, Jörg Janne Vehreschild, Timo Schneider, Dennis Kadioglu |
39 | Lessons learned from four population-based cancer registries: Mapping of ICD-O-3 codes to standard concepts | Peter Prinsen, Maaike van Swieten, Chiara Attanasio, Espen Enerly, Siri Larønningen, Elisabetta Rapiti, David Marcic, Evelyne Fournier, Pierre Künzli, Michael Schnell, Sophie Couffignal, Claudine Backes |
40 | Interoperability through Collaboration: Developing a Global Oncology Standard | Robert Miller, Asieh Golozar, Georgina Kennedy, Kim W. Carter |
41 | Tools for the collaborative maintenance of national vocabularies and mappings | Shanmukha Sampath Padmanabhuni, Anna Hammais, Pasi Rikala, Gustav Klingstedt |
42 | A new route of administration hierarchy derived from dose forms supporting standardised drug dose calculations | Theresa Burkard, Artem Gorbachev, Kim Lopez-Güell, Daniel Prieto-Alhambra, Martí Català, Christian Reich |
43 | Paving the way to estimate dose in OMOP CDM for Drug Utilisation Studies in DARWIN EU | Theresa Burkard, Kim Lopez-Güell, Artem Gorbachev, Annika M Jödicke, Nuria Mercadé-Besora, Talita Duarte-Salles, Dani Prieto-Alhambra, Christian Reich, Marti Catala |
44 | Extending OMOP-CDM for registering tomography imaging metadata and subsequent annotation and curation processes | Varvara Kalokyri, Haridimos Kondylakis, Stelios Sfakianakis, Katerina Nikiforaki, Simone Mazzetti, Nikolaos Tachos, Konstantinos Marias, Manolis Tsiknakis |
45 | A reusable method to assess the quality of the ETL process | Vittoria Ramella, Matteo Gabetta, Mauro Bucalo, Nicola Barbarini |
Software demonstrations – Round I
FinnGen ETL using BigQuery SQL | Javier Gracia-Tabuenca, Mary Pat Reeve | |
Software demonstration for PatientProfiles: an R package for patient characterisation based on pre-defined phenotypes and cohorts | Mike Du, Yuchen Guo, Kim Lopez-Guell, Xintong Li, Nuria Mercade Besora, Daniel Prieto-Alhambra, Edward Burn, Marti Catala | |
ReportGenerator: An R Package to automate study reports from Darwin EU research | Cesar Barboza Gutierrez, Ger Inberg, Maarten van Kessel, Daniel Prieto-Alhambra, Ross D. Williams |
Software demonstrations – Round II
IncidencePrevalence: An R package to calculate population-level incidence and prevalence rates using the OMOP Common Data Model | Martí Català, Berta Raventós, Mike Du, Yuchen Guo, Adam Black, Ger Inberg, Xintong Li, Kim López-Güell, Danielle Newby, Maria de Ridder, Cesar Barboza, Talita Duarte-Salles, Katia Verhamme, Peter Rijnbeek, Daniel Prieto Alhambra, Edward Burn | |
DrugUtilisation, an R Package to implement Patient-level Drug Utilisation Studies analysis using the OMOP common data model | Yuchen Guo, Mike Du, Kim Lopez-Guell, Xintong Li, Ger Inberg, Therese Buckhard, Annika M. Jödicke, Artem Gorbachev, Daniel Prieto-Alhambra, Edward Burn, Martí Català |
Open-source analytics development
46 | CDMConnector: Cross platform OMOP CDM database queries using dplyr | Adam Black, Edward Burn, Artem Gorbachev, Martí Català |
47 | Development of an OMOP Ontology Application – PROSA – for creation and maintenance of highly granular source concepts within the OMOP vocabulary structure | Jared Houghtaling, Emma Gesquiere, and Lars Halvorsen |
48 | A method to facilitate rapid stand up of OMOP research tools from validated libraries for RWE research | Jack Brewster |
49 | Generating Synthetic Data from OMOP-CDM databases for Health Applications | Alberto Labarga, Sergi Aguiló |
50 | Performance Improvement of Post-ETL in OMOP CDM | Antonella Delmestri |
Clinical applications
51 | Drug utilisation of valproate-containing medicinal products in women of childbearing age: a network study part of DARWIN EU® | Albert Prats-Uribe, Martí Català, Katia M Verhamme, Maria de Ridder, Carlen Reyes, Talita Duarte-Salles, Peter Rijnbeek, Edward Burn, Daniel Prieto-Alhambra, Annika M. Jödicke | |
52 | Evaluation of treatment effect heterogeneity in the LEGEND-Hypertension study | Alexandros Rekkas, David van Klaveren, Jenna M. Reps, Peter R. Rijnbeek | |
53 | Estimating the prevalence of rare blood cancers in Europe: a network study part of DARWIN EU® | Martí Català, Annika Jödicke, Albert Prats-Uribe, Katia M Verhamme, Asieh Golozar, Berta Raventós, Talita Duarte-Salles, Edelmira Martí, Peter Rijnbeek, Daniel Prieto-Alhambra, Edward Burn | |
54 | Vaccine effectiveness to prevent long COVID: A staggered cohort study using primary care electronic health records from the United Kingdom | Martí Català, Núria Mercadé-Besora, Edward Burn, Trishna Rathod-Mistry, Kristin Kostka, Wai Man, Antonella Delmestri, Talita Duarte-Salles, Daniel Prieto-Alhambra, Annika M. Jödicke | |
55 | Heart failure burden in patients with incident CKD in the US: a multi-database FOUNTAIN analysis | Martin Lavallee, David Vizcaya, Elena Pessina, Nikolaus Oberprieler, Glen James, Asieh Golozar | |
56 | Supporting pharmacovigilance signal validation and prioritisation with analyses of routinely collected health data – lessons learned from an EHDEN network study | Oskar Gauffin, Judith S Brand, Sara Hedfors Vidlin, Daniele Sartori, Suvi Asikainen, Martí Català, Etir Chalabi, Daniel Dedman, Ana Danilovic, Talita Duarte Salles, Maria Teresa García Morales, Saara Hiltunen, Annika M. Jödicke, Milan Lazarevic, Miguel A. Mayer, Jelena Miladinovic, Joseph Mitchell, Andrea Pistillo, Juan Manuel Ramírez-Anguita, Carlen Reyes, Annette Rudolph, Lovisa Sandberg, Ruth Savage, Martijn Schuemie, Dimitrije Spasic, Nhung TH Trinh, Nevena Veljkovic, Ankica Vujovic, Marcel de Wilde, Alem Zekarias, Peter Rijnbeek, Patrick Ryan, Daniel Prieto-Alhambra, G. Niklas Norén | |
57 | Secur-e-Health project: towards federated learning for smart care of pediatric obesity | Rita Rb-Silva, Carolina Ameijeiras-Rodrigues, José Miguel Diniz, João Moreira-Pinto, Alberto Freitas, Tiago Taveira-Gomes | |
58 | Measuring multimorbidity in IPCI: An analysis of more than 1.8 million patients. | Solomon Ioannou, Egill Fridgeirsson, Marcel de Wilde, Jan Kors, Peter Rijnbeek, Katia Verhamme | |
59 | Pre-coordination of structural and semantic conventions to capture breast cancer indicators in the context of the European University Hospital Alliance (EUHA) | Tijs Delabastita, Pieter Maertens, Jared Houghtaling, Pieter Stijnen, Guy Vanden Boer, Johan Van Eldere | |
60 | Short-, medium-, and long-term psychiatric and neuropsychiatric consequences of COVID-19: A multinational pilot study | Yi Chai, Ivan C. H. Lam, Eric Y. F. Wan, Celine S. L. Chui, Xue Li, Kenneth K. C. Man, Wallis C. Y. Lau, Xiaoyu Lin, Can Yin, Fan Min, Jing Li, Sarah Seager, Mui Van Zandt, Hao Luo, Ian C. K. Wong | |
61 | Changes in Incidence of Screening and Diagnostic Tests, Breast, Colorectal, Lung and Prostate Cancer, Before, During and After the UK National COVID-19 Lockdowns: A Cohort Study | Nicola L. Barclay, Annika M. Jödicke, Xihang Chen, Antonella Delmestri, Berta Raventós, Wai Yi Man, Danielle Newby, Daniel Prieto-Alhambra, Marta Pineda-Moncusí, Martí Català | |
62 | Facilitating Global Understanding of Tixagevimab/Cilgavimab Use: Leveraging OMOP Common Data Model for Harmonized Data Extraction and Federated Network Creation | Dan Housman, Yuval Koren, Daniel Poscover, Charles E. Barr, Aaron Kamauu, Amanda Shields | |
63 | Are scaphoid fractures osteoporotic? | Yonatan Schwarcz, Chen Yanover, Inbal Goldshtein | |
64 | The use of WHO ‘Watch List’ Antibiotics in Europe: a DARWIN-EU® network population-based network cohort study | Johnmary T. Arinze, Maria de Ridder, Talita Duarte-Salles, Marti Catala-Sabate, Antonella Delmestri, Hezekiah Omulo, James Brash, Hanne van Ballegooijen, Juan Manuel Ramírez-Anguita, Angela Leis, Miguel-Angel Mayer, Romain Griffier, Peter Rijnbeek, Dani Prieto Alhambra, Katia MC Verhamme | |
65 | COVID-19 vaccines effectiveness against thromboembolic complications in the post-acute phase of the COVID-19 infection: a staggered cohort study using UK primary care electronic health records | Núria Mercadé-Besora, Wai Man, Antonella Delmestri, Clara Prats, Daniel Prieto-Alhambra, Annika M Jödicke, Martí Català | |
66 | Large-scale characterization of patients with metastatic hormone sensitive prostate cancer across a network of observational data. Results from the European network of excellence for big data in prostate cancer (PIONEER)’s Second Studyathon | Asieh Golozar, Juan Gomez Rivas, Rossella Nicoletti, Bertrand de Meulder, Qi Feng, Susan Evans Axelsson, Robert Snijder, Artem Gorbachev, Ayemn Hijazi, Peter Prinsen, Philip Cornford, Peter-Paul Willemse, Anders Bjartell, Teemu Murtola, Carl Steinbeißer, James N’dow, PIONEER consortium | |
67 | Prevalence and treatment patterns in Patients with Bipolar Disorder Depression | Carmen O. Torre, Anda Gershon | |
68 | Validation and Comparison of Frailty Indexes: An OHDSI Network Study | Chen Yanover, Louisa Smith, Tal El-Hay, Brianne Olivieri-Mui, Maytal Bivas-Benita, Robert Cavanaugh, Pinchas Akiva, Chelsea N. Wong, Ariela Orkaby | |
69 | Characteristics and outcomes of over a million inflammatory bowel disease subjects in seven countries: a multinational cohort study | Chen Yanover, Ramit Magen-Rimon, Erica Voss, Joel Swerdel, Anna Sheahan, Nathan Hall, Jimyung Park, Rae Woong Park, Kwang Jae Lee, Sung Jae Shin, Seung In Seo, Kyung-Joo Lee, Thomas Falconer, Leonard Haas, Paul Nagy, Mary Bowring, Michael Cook, Steven Miller, Tal El-Hay, Maytal Bivas-Benita, Pinchas Akiva, Yehuda Chowers, Roni Weisshof | |
70 | Prediction of 30-day, 90-day and 1 year mortality after colorectal cancer surgery using a data-driven approach | Karoline Bendix Bräuner, Andi Tsouchnika, Maliha Mashkoor, Ross D. Williams, Andreas Weinberger Rosen, Morten Frederik Schlaikjær Hartwig, Mustafa Bulut, Niclas Dohrn, Peter R. Rijnbeek, Ismail Gögenur | |
71 | The use of contraception in females with underlying conditions | Emma Lippens, Victor Pera, Peter R. Rijnbeek, Katia M.C. Verhamme | |
72 | A Nationwide Cohort Study of Outcomes and Mortality after Colorectal Surgery in Elderly Patients | Ilze Ose, Andreas Weinberger Rosen, Karoline Bendix Bräuner, Maliha Mashkoor, Mathilde Glud Christensen, Emilie Barbara Palmgren Colov, Rasmus Peuliche Vogelsang, Ismail Gögenur, Rasmus Dahlin Bojesen | |
73 | The association of short-, medium and long-term cardiovascular sequelae with COVID-19 infection: a multinational pilot study | Ivan C.H Lam, Yi Chai, Eric Y.F Wan, Celine S.L Chui, Xue Li, Carlos K.H Wong, Hao Luo, Kenneth K.C Man, Xiaoyu Lin, Can Yin, Jing Li, Mui Van Zandt, Sarah Seager, Ian Chi Kei Wong | |
74 | Automated Retrospective Data Extraction from Electronic Health Records Using Natural Language Processing to Identify Transthyretin Amyloid Cardiomyopathy in a Real-World Heart Failure Population | Dries Hens, Ana Moya, Clara L. Oeste, Monika Beles, Sofie Verstreken, Riet Dierckx, Ward Heggermont, Jozef Bartunek, Eline Bogaerts, Imke Masuy, Marc Vanderheyden | |
75 | The appraisal of WHO definition of post COVID-19 condition (long COVID): an international network cohort and meta-analysis study | Junqing Xie#, Kim López-Güell#, Kristin Kostka, Alicia Abellan, Jessie O Oyinlola, Jaime Meléndez-Cardiel, Juan Manuel Ramírez-Anguita, Anneli Uusküla, Johnmary T. Arinze, Theresa Burkard, Edward Burn, Zara Cuccu, Daniel Dedman, Dominique Delseny, Talita Duarte-Salles, Chungsoo Kim10, Ji-woo Kim, Raivo Kolde, Francesco Lapi, Raúl López-Blasco, Cora Loste, Ettore Marconi, Álvaro Martínez, Lourdes Mateu, Miguel A. Mayer, Núria Mercadé-Besora, Gregoire Mercier, Mees Mosseveld, Hedvig ME Nordeng, Nhung TH Trinh, Bernardo Valdivieso, Daniel Prieto-Alhambra, Roger Paredes*, Martí Català*, Annika M. Jödicke* | |
76 | Development and characterization of a phenotype algorithm to identify Acute Kidney Injury in RWD | Marcela Rivera, David Vizcaya, Juan Manuel Ramírez-Anguita, Azza Shoaibi, Gowtham Rao, Angela Leis, Miguel Angel Mayer | |
77 | Pattern of long COVID symptoms and conditions: clustering analysis based on large multinational cohorts as part of an EHDEN Study-A-Thon | Kim López-Güell#, Martí Català#, Daniel Dedman, Talita Duarte-Salles, Raivo Kolde, Raúl López-Blasco, Álvaro Martínez, Lourdes Mateu, Gregoire Mercier, Alicia Abellan, Johnmary T. Arinze, Theresa Burkard, Edward Burn, Zara Cuccu, Dominique Delseny, Chungsoo Kim, Ji-woo Kim, Kristin Kostka, Francesco Lapi, Cora Loste, Ettore Marconi, Miguel A. Mayer, Jaime Meléndez-Cardiel, Núria Mercadé-Besora, Mees Mosseveld, Hedvig ME Nordeng, Jessie O Oyinlola, Roger Paredes, Juan Manuel Ramírez-Anguita, Nhung TH Trinh, Anneli Uusküla, Bernardo Valdivieso, Junqing Xie, Annika M Jödicke*, Daniel Prieto-Alhambra* | |
78 | Associations between pre-operative cholesterol levels with long-term survival after colorectal cancer surgery: A nationwide propensity score-matched cohort study | Lea Löffler, Mikail Gögenur, Ismail Gögenur |
Methodological research
79 | Phenotyping for DARWIN EU®: Standardising the phenotype creation process and the metadata storage to increase reproducibility, traceability, and reusability. | Albert Prats-Uribe, Annika M. Jödicke, Asieh Golozar, Christian Reich, Rowan Parry, Peter Rijnbeek, Katia M Verhamme, Daniel Prieto-Alhambra |
80 | Toward generalizable clinical prediction models: a large-scale investigation using stacking ensembles | Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek, Jenna Wong, Ross D. Williams |
81 | Interpretable decision rules for patient-level prediction with EXPLORE | Aniek F. Markus, Jan A. Kors, Egill A. Fridgeirsson, Katia M.C. Verhamme, Peter R. Rijnbeek |
82 | A Data Driven Approach to Database Fitness for Use | Clair Blacketer, Frank DeFalco, Dmitry Dymshyts, Martijn Schuemie, Peter Rijnbeek |
83 | Automated Concept Mapping System for OMOP using Vector Representations and Cross-hospital Mapping | Martina Carres, Gabriel Maeztu, Mónica Arrúe |
84 | Comparing concepts extracted from clinical Dutch text to conditions in the structured data | Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek |
85 | PlasmodeSim: R package to simulate data with known treatment assignment and outcome generating processes | Gidius van de Kamp, Alexandros Rekkas |
86 | Transforming Multimodal Data from Music Therapy Sessions into OMOP CDM Format | Jared Houghtaling, Katrien Foubert |
87 | Deep Learning Comparison | LH John, C Kim, JM Reps, EA Fridgeirsson |
88 | Multi-site Cost-effectiveness and Markov Chain analysis of heart failure | Markus Haug, Raivo Kolde |
89 | Developing a phenotype algorithm to identify natural menopausal women in secondary data: A multi-country, large-scale OHDSI network study | Siir Su Saydam, Carina Dinkel-Keuthage, Cecilia Caetano, Cecile Janssenswillen, Carsten Moeller, Nils Schoof, James Brash, Victoria Banks |