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Stratifying Cervica...
Stratifying Cervical Cancer Risk With Registry Data
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- Baltzer, Nicholas (författare)
- Uppsala universitet,Beräkningsbiologi och bioinformatik
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- Sundström, Karin (författare)
- Karolinska Inst, Dept Lab Med, Stockholm, Sweden
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- Nygård, Jan (författare)
- Canc Registry Norway, Dept Registry Informat, Oslo, Norway
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- Nygård, Mari (författare)
- Canc Registry Norway, Dept Registry Informat, Oslo, Norway
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- Dillner, Joakim (författare)
- Karolinska Inst, Dept Lab Med, Stockholm, Sweden
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- Komorowski, Jan (författare)
- Uppsala Univ, Dept Cell & Mol Biol, Uppsala, Sweden;Polish Acad Sci, Warsaw, Poland
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(creator_code:org_t)
- IEEE, 2018
- 2018
- Engelska.
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Ingår i: 2018 IEEE 14th International Conference on e-Science (e-Science 2018). - : IEEE. - 9781538691564 ; , s. 288-289
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The cervical cancer screening programmes in Sweden and Norway have successfully reduced the frequency of cervical cancer incidence but have not implemented any form of evaluation for screening needs. This means that the screening frequency for individuals can he suboptimal, increasing either the cost of the programme or the risk of missing an early stage cancer development. We developed a framework for assessing an individual's risk of cervical cancer based on their available screening history and computing a primary risk factor called CRS from a data-driven separation model together with multiple derived attributes. The results show that this approach is highly practical, validates against multiple established trends, and can he effective in personalizing the screening needs for individuals.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- cancer
- bioinformatics
- algorithms
- precision medicine
- medical analytics
- prediction
- classification
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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