Connection

Anne-Sophie Jannot to Data Mining

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This is a "connection" page, showing publications Anne-Sophie Jannot has written about Data Mining.
Anne-Sophie Jannot
Connection Strength
0.336
Data Mining
  1. Accuracy of claim data in the identification and classification of adults with congenital heart diseases in electronic medical records. Arch Cardiovasc Dis. 2019 Jan; 112(1):31-43.
    View in: PubMed
    Score: 0.118
  2. Association between borderline dysnatremia and mortality insight into a new data mining approach. BMC Med Inform Decis Mak. 2017 Nov 22; 17(1):152.
    View in: PubMed
    Score: 0.109
  3. A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac disease. BMC Med Inform Decis Mak. 2017 Sep 29; 17(1):140.
    View in: PubMed
    Score: 0.108
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.