Folkert W. Asselbergs

According to our database, Folkert W. Asselbergs authored at least 21 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems.

Matthew G. Wilson, Edward Palmer, Folkert W. Asselbergs, Steve K. Harris

J. Biomed. Informatics, January, 2023

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes.

Abdulrahman Alasiri, Konrad J. Karczewski, Brian S. Cole, Bao-Li Loza, Jason H. Moore, Sander W. Van der Laan, Folkert W. Asselbergs, Brendan J. Keating, Jessica van Setten

BioData Min., January, 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

2022

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond.

Václav Papez, Maxim Moinat, Erica A. Voss, Sofia Bazakou, Anne Van Winzum, Alessia Peviani, Stefan Payralbe, Elena Garcia Lara, Michael Kallfelz, Folkert W. Asselbergs, Daniel Prieto-Alhambra, Richard J. B. Dobson, Spiros C. Denaxas

J. Am. Medical Informatics Assoc., 2022

Modeling Structural Abnormalities in Equivalent Dipole Layer Based ECG Simulations.

Manon Kloosterman, Machteld J. Boonstra, Folkert W. Asselbergs, Peter Loh, Thom F. Oostendorp, Peter M. van Dam

Proceedings of the Computing in Cardiology, 2022

2021

Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks.

Arjan Sammani, Ayoub Bagheri, Peter G. M. van der Heijden, Anneline S. J. M. te Riele, Annette F. Baas, C. A. J. Oosters, Daniel L. Oberski, Folkert W. Asselbergs

npj Digit. Medicine, 2021

An informatics consult approach for generating clinical evidence for treatment decisions.

Alvina Grace Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros C. Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve K. Harris, Sylvia Richardson, Reecha Sofat, Richard J. B. Dobson, Aroon D. Hingorani, Riyaz Patel, Jonathan Sterne, Amitava Banerjee, Alastair K. Denniston, Simon Ball, Neil J. Sebire, Nigam H. Shah, Graham R. Foster, Bryan Williams, Harry Hemingway

BMC Medical Informatics Decis. Mak., 2021

2020

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial.

Hegler Correa Tissot, Anoop D. Shah, David Brealey, Steve K. Harris, Ruth Agbakoba, Amos Folarin, Luis Romao, Lukasz Roguski, Richard J. B. Dobson, Folkert W. Asselbergs

IEEE J. Biomed. Health Informatics, 2020

ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history.

Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski

J. Intell. Inf. Syst., 2020

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning.

Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari O. Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore

Bioinform., 2020

Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters.

Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data.

Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis.

T. Katrien J. Groenhof, Folkert W. Asselbergs, Rolf H. H. Groenwold, Diederick E. Grobbee, Frank L. J. Visseren, Michiel L. Bots

BMC Medical Informatics Decis. Mak., 2019

2017

Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype.

Vinicius Tragante, Johannes M. I. H. Gho, Janine F. Felix, Ramachandran S. Vasan, Nicholas L. Smith, Benjamin F. Voight, Colin Palmer, Pim van der Harst, Jason H. Moore, Folkert W. Asselbergs

BioData Min., 2017

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.

Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie

BioData Min., 2017

2016

The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.

Spiros C. Denaxas, Folkert W. Asselbergs, Jason H. Moore

BioData Min., 2016

2015

An Independent Filter for Gene Set Testing Based on Spectral Enrichment.

H. Robert Frost, Zhigang Li, Folkert W. Asselbergs, Jason H. Moore

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).

Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond

BioData Min., 2015

Session Introduction.

Molly A. Hall, Shefali S. Verma, Dennis P. Wall, Jason H. Moore, Brendan Keating, Daniel B. Campbell, Gregory Gibson, Folkert W. Asselbergs, Sarah A. Pendergrass

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2012

Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS.

Nora Kim, Peter C. Andrews, Folkert W. Asselbergs, H. Robert Frost, Scott M. Williams, Brent T. Harris, Cynthia Read, Kathleen D. Askland, Jason H. Moore

BioData Min., 2012

2010

Bioinformatics challenges for genome-wide association studies.

Jason H. Moore, Folkert W. Asselbergs, Scott M. Williams

Bioinform., 2010