Data processing in healthcare using CRISP

Roland Roller*, Anne Marie Weggelaar-Jansen, Ricard Martínez Martínez, Sven Schmeier, Holmer Hemsen, Supriyo Chatterjea

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterAcademic

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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 languageEnglish
Title of host publicationTechnology in Healthcare
Subtitle of host publicationIntroduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment
EditorsBrian Pickering, Roland Roller, Holmer Hemsen, Gerrit J. Noordergraaf, Igor Paulussen, Alyssa Venema
Chapter25
Pages316-324
Number of pages9
ISBN (Electronic)9781638282372
DOIs
Publication statusPublished - 8 Jul 2024

Bibliographical note

Copyright © 2024 Roland Roller et al.

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