Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Davide Ferrari and Federico Cabitza.
Davide Ferrari
Connection Strength
1.817
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: 0.914
  2. Evidence of significant difference in key COVID-19 biomarkers during the Italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in Northern Italy. Acta Biomed. 2020 11 10; 91(4):e2020156.
    View in: PubMed
    Score: 0.228
  3. 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
  4. Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective study. Acta Biomed. 2020 09 07; 91(3):e2020009.
    View in: PubMed
    Score: 0.225
  5. 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.