A Content Model for the ICD-11 Revision
@inproceedings{Tu2010ACM, title={A Content Model for the ICD-11 Revision}, author={Samson W. Tu and Olivier Bodenreider and Can Celik and Christopher G. Chute and Sam Heard and Robert Jakob and Guoquiang Jiang and Sukil Kim and Eric Miller and Mark Musen and Jun Nakaya and J. Patrick and Alan L. Rector and Guillermo Reynoso and Jean Marie Rodrigues and Harold and Solbrig and Kent A. Spackman and Tania Tudorache and S. Weber and Tevfik Bedirhan {\"U}st{\"u}n}, year={2010} }
Samson W. Tu, Olivier Bodenreider, Can Çelik, Christopher G. Chute, Sam Heard, Robert Jakob, Guoquian Jiang, Sukil Kim, Eric Miller, Mark M. Musen, Jun Nakaya, Jon Patrick, Alan Rector, Guillermo Reynoso, Jean Marie Rodrigues, Harold Solbrig, Kent A Spackman, Tania Tudorache, Stefanie Weber, Tevfik Bedirhan Üstün Stanford Univ., Stanford, CA, USA; National Library of Medicine, Bethesda, MD, USA; World Health Organization, Geneva, Switzerland; Mayo Clinic College of Medicine, Rochester, MN, USA…
20 Citations
Using Semantic Web in ICD-11: Three Years Down the Road
- Computer Science, MedicineSEMWEB
- 2013
To the knowledge, this effort is the only real-world project supporting the collaborative authoring of ontologies at this scale, and which, at the same time, has a high visibility and impact for the health care around the world.
A Web-Based Tool for Development of a Common Ontology between ICD11 and SNOMED-CT
- Medicine, Computer Science2014 IEEE International Conference on Healthcare Informatics
- 2014
The present paper briefly describes the method and the tool that has been developed to support the investigation of three specific ICD11 chapters to understand the total workload and calendar of activities.
Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding
- MedicineOrphanet Journal of Rare Diseases
- 2015
The overall revision process of the International Classification of Diseases was carried out with very limited means considering its scope, ambition and strategic significance, and experienced significant hurdles and setbacks.
Constructing a classification of hypersensitivity/allergic diseases for ICD‐11 by crowdsourcing the allergist community
- MedicineAllergy
- 2015
A high‐level complex structure of classification for hypersensitivity/allergic diseases has been constructed and the model proposed has been presented to the WHO groups in charge of the ICD revision.
Ontology Development for the Masses: Creating ICD-11 in WebProtégé
- Medicine, Computer ScienceEKAW
- 2010
The evaluation was performed in the context of the editors learning to use WebProtege to start the ICD-11 development and participants in the evaluation were optimistic that collaborative development will work in this context, but have raised a number of critical issues.
Leveraging Shannon Entropy to Validate the Transition between ICD-10 and ICD-11
- Computer ScienceEntropy
- 2018
A mapping framework with entropy-based metrics for validating the effectiveness of the transition between International Classification of Diseases 10th revision (ICD-10)-coded datasets and a new context of ICD-11 and Shannon entropy was leveraged to propose validation methods to evaluate information changes during the transition.
Will Semantic Web Technologies Work for the Development of ICD-11?
- Computer Science, MedicineSEMWEB
- 2010
The previous processes and technologies used for developing ICD are described, the requirements for the new development process are described and the SemanticWeb technologies that are presented are presented that are used for ICD-11.
Steps through the Revision Process of Reproductive Health Sections of ICD-11
- MedicineGynecologic and Obstetric Investigation
- 2012
The Department of Reproductive Health and Research coordinates the revision of chapters 14 (diseases of the genitourinary system), 15 (pregnancy, childbirth, and puerperium), and 16 (conditions originating in the perinatal period) within the ICD-11 revision process.
Analysis of Social Aspects in Ontology Engineering
- Computer Science
- 2011
Methods and measures that help analyze pragmatic aspects of ontology engineering projects by using historical and temporal data generated by users who collaborate on ontology construction, and a novel web-based tool—iCAT Analytics—that allows to systematically investigate crowd-based processes in knowledge production systems.
References
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