Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Giuseppe Banfi and Federico Cabitza.
Giuseppe Banfi
Connection Strength
0.678
Federico Cabitza
  1. Role of time-normalized laboratory findings in predicting COVID-19 outcome. Diagnosis (Berl). 2020 Nov 18; 7(4):387-394.
    View in: PubMed
    Score: 0.228
  2. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests. Clin Chem Lab Med. 2020 10 21; 59(2):421-431.
    View in: PubMed
    Score: 0.227
  3. Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study. J Med Syst. 2020 Jul 01; 44(8):135.
    View in: PubMed
    Score: 0.223
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.