Abstract
The BigMedilytics Blueprint is based on the experience and lessons learned from the 12 BigMedilytics studies. It aligns them to an abstract level of common blocks based on their similarities. Big Data and AI are data-driven techniques that have many aspects in common with data mining, so instead of creating a new process model, we build our blueprint upon the cross-industry standard process for data mining, also known as CRISP-DM. We use this well-established open standard process model, apply it to our healthcare domain, and incorporate our experiences and outcomes.
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Original language | English |
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Title of host publication | Technology in Healthcare |
Subtitle of host publication | Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment |
Editors | Brian Pickering, Roland Roller, Holmer Hemsen, Gerrit J. Noordergraaf, Igor Paulussen, Alyssa Venema |
Chapter | 25 |
Pages | 316-324 |
Number of pages | 9 |
ISBN (Electronic) | 9781638282372 |
DOIs | |
Publication status | Published - 8 Jul 2024 |