Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy
Lhatoo SD, Bernasconi N, Blumcke I, Braun K, Buchhalter J, Denaxas S, Galanopoulou A, Josephson C, Kobow K, Lowenstein D, Ryvlin P, Schulze-Bonhage A, Sahoo SS, Thom M, Thurman D, Worrell G, Zhang GQ, Wiebe S (2020)
Publication Type: Journal article
Publication year: 2020
Journal
DOI: 10.1111/epi.16633
Abstract
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene and drug discovery, imaging, electroencephalography, pathology, epilepsy surgery, digital technologies, and numerous others. Epilepsy data are collected in the terabytes and petabytes, pushing the limits of current capabilities. Modern computing firepower and advances in machine and deep learning, pioneered in other diseases, open up exciting possibilities for epilepsy too. However, without carefully designed approaches to acquiring, standardizing, curating, and making available such data, there is a risk of failure. Thus, careful construction of relevant ontologies, with intimate stakeholder inputs, provides the requisite scaffolding for more ambitious big data undertakings, such as an epilepsy data commons. In this review, we assess the clinical and research epilepsy landscapes in the big data arena, current challenges, and future directions, and make the case for a systematic approach to epilepsy big data.
Authors with CRIS profile
Involved external institutions
University College London (UCL)
United Kingdom (GB)
University of Calgary
Canada (CA)
Dignity Health St. Joseph's Hospital and Medical Center
United States (USA) (US)
University of California San Francisco (UCSF)
United States (USA) (US)
University Medical Centre Utrecht (UMC Utrecht)
Netherlands (NL)
Emory University
United States (USA) (US)
Université de Lausanne (UNIL)
Switzerland (CH)
Universitätsklinikum Freiburg
Germany (DE)
McGill University
Canada (CA)
University of Texas Health Science Center at Houston (UTHealth)
United States (USA) (US)
Albert Einstein College of Medicine
United States (USA) (US)
Mayo Clinic
United States (USA) (US)
United Kingdom (GB)
University of Calgary
Canada (CA)
Dignity Health St. Joseph's Hospital and Medical Center
United States (USA) (US)
University of California San Francisco (UCSF)
United States (USA) (US)
University Medical Centre Utrecht (UMC Utrecht)
Netherlands (NL)
Emory University
United States (USA) (US)
Université de Lausanne (UNIL)
Switzerland (CH)
Universitätsklinikum Freiburg
Germany (DE)
McGill University
Canada (CA)
University of Texas Health Science Center at Houston (UTHealth)
United States (USA) (US)
Albert Einstein College of Medicine
United States (USA) (US)
Mayo Clinic
United States (USA) (US)
How to cite
APA:
Lhatoo, S.D., Bernasconi, N., Blumcke, I., Braun, K., Buchhalter, J., Denaxas, S.,... Wiebe, S. (2020). Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy. Epilepsia. https://doi.org/10.1111/epi.16633
MLA:
Lhatoo, Samden D., et al. "Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy." Epilepsia (2020).
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