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Predicting Type 1 D...
Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology
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- Li, Ying (författare)
- IBM Research
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- Liu, Bin (författare)
- IBM Research
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- Anand, Vibha (författare)
- University of Oulu,IBM Research
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visa fler...
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- Dunne, Jessica L. (författare)
- Juvenile Diabetes Research Foundation
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- Lundgren, Markus (författare)
- Lund University,Lunds universitet,Pediatrisk endokrinologi,Forskargrupper vid Lunds universitet,Paediatric Endocrinology,Lund University Research Groups
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- Ng, Kenney (författare)
- IBM Research
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- Rewers, Marian (författare)
- University of Colorado
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- Veijola, Riitta (författare)
- University of Oulu
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- Ghalwash, Mohamed (författare)
- IBM Research
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visa färre...
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(creator_code:org_t)
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- 2020
- 2020
- Engelska 10 s.
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Ingår i: AMIA ... Annual Symposium proceedings. AMIA Symposium. - 1942-597X. ; 2020, s. 727-736
- Relaterad länk:
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https://lup.lub.lu.s...
Abstract
Ämnesord
Stäng
- Type 1 diabetes (T1D) is a chronic autoimmune disease that affects about 1 in 300 children and up to 1 in 100 adults during their life-time1. Improvements in early prediction of T1D onset may help prevent diagnosis for diabetic ketoacidosis, a serious complication often associated with a missed or delayed T1D diagnosis. In addition to genetic factors, progression to T1D is strongly associated with immunologic factors that can be measured during clinical visits. We developed a T1D-specific ontology that captures the dynamic patterns of these biomarkers and used it together with a survival model, RankSvx, proposed in our prior work2. We applied this approach to a T1D dataset harmonized from three birth cohort studies from the United States, Finland, and Sweden. Results show that the dynamic biomarker patterns captured in the proposed ontology are able to improve prediction performance (in concordance index) by 5.3%, 3.3%, 2.8%, and 1.0% over baseline for 3, 6, 9, and 12 month duration windows, respectively.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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