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Mining Events Preceding a Cancer Diagnosis
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: IEEE 14th International Conference on eScience: Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 295-296Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This study describes an approach for mining events preceding a cervical cancer diagnosis from health records.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 295-296
Keywords [en]
cancer, data mining, gynaecology, medical diagnostic computing, patient diagnosis, text analysis, mining events, cervical cancer diagnosis, health records, Cervical cancer, Neoplasms, Data mining, Frequency control, Trajectory, health records, cancer, text mining
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-176287DOI: 10.1109/eScience.2018.00059ISBN: 978-1-5386-9157-1 (print)ISBN: 978-1-5386-9156-4 (electronic)OAI: oai:DiVA.org:su-176287DiVA, id: diva2:1373705
Conference
IEEE International Conference on e-Science and Grid Computing, Amsterdam, Netherlands, 29 October-1 November, 2018
Available from: 2019-11-27 Created: 2019-11-27 Last updated: 2019-12-02Bibliographically approved

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Weegar, Rebecka
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