Connection

ONUR TURKOGLU to ROC Curve

This is a "connection" page, showing publications ONUR TURKOGLU has written about ROC Curve.
Connection Strength

0.370
  1. Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence. Sci Rep. 2025 01 15; 15(1):2060.
    View in: PubMed
    Score: 0.196
  2. Metabolomic prediction of severe maternal and newborn complications in preeclampsia. Metabolomics. 2024 May 18; 20(3):56.
    View in: PubMed
    Score: 0.047
  3. Artificial Intelligence and the detection of pediatric concussion using epigenomic analysis. Brain Res. 2020 01 01; 1726:146510.
    View in: PubMed
    Score: 0.034
  4. Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. PLoS One. 2019; 14(4):e0214121.
    View in: PubMed
    Score: 0.033
  5. Metabolomic prediction of endometrial cancer. Metabolomics. 2017 12 01; 14(1):6.
    View in: PubMed
    Score: 0.030
  6. Integrated Proteomic and Metabolomic prediction of Term Preeclampsia. Sci Rep. 2017 11 23; 7(1):16189.
    View in: PubMed
    Score: 0.030
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.