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Mining Events Preceding a Cancer Diagnosis
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2018 (engelsk)Inngår i: IEEE 14th International Conference on eScience: Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, s. 295-296Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

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

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2018. s. 295-296
Emneord [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
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-176287DOI: 10.1109/eScience.2018.00059ISBN: 978-1-5386-9157-1 (tryckt)ISBN: 978-1-5386-9156-4 (digital)OAI: oai:DiVA.org:su-176287DiVA, id: diva2:1373705
Konferanse
IEEE International Conference on e-Science and Grid Computing, Amsterdam, Netherlands, 29 October-1 November, 2018
Tilgjengelig fra: 2019-11-27 Laget: 2019-11-27 Sist oppdatert: 2019-12-02bibliografisk kontrollert

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