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Ospedale Sant'Anna

Italy

2 papers here36 citations across 2
fields
  • cs.AI1
  • q-bio.QM1
ROR 04m0kdq23OpenAlex

affiliations via OpenAlex

most citedMultimodal Explainability via Latent Shift applied to COVID-19 stratification

30 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Alogna1 · h 20
  • A. Faragli1 · h 13
  • B. Pieske1 · h 102
  • C. Campañá1 · h 4
  • Deborah Fazzini1 · h 4
  • Domenico Albano1 · h 1
  • D. Santucci1 · h 15
  • E. Faiella1 · h 20
  • F. Edelmann1 · h 47
  • F. L. Muzio1 · h 4
  • L. Fassina1 · h 5
  • L. Tronchin1 · h 7
collaborating institutions
  • Azienda Socio Sanitaria Territoriale LarianaIT1 paper
  • Berlin Institute of Health at Charité - Universitätsmedizin BerlinDE1 paper
  • Centro Diagnostico ItalianoIT1 paper
  • Charité - Universitätsmedizin BerlinDE1 paper
  • Deutsches Herzzentrum der CharitéDE1 paper
  • German Centre for Cardiovascular ResearchDE1 paper
  • Istituto Ortopedico GaleazziIT1 paper
  • Umeå UniversitySE1 paper
  • Università Campus Bio-MedicoIT1 paper
  • University of MilanIT1 paper
  • University of ParmaIT1 paper
  • University of PaviaIT1 paper
Showing q-bio.QMShow all

1 paper · 1 filter

q-bio.QM2020★ 6 cited

A random shuffle method to expand a narrow dataset and overcome the associated challenges in a clinical study: a heart failure cohort example

Lorenzo Fassina, Alessandro Faragli, Francesco Paolo Lo Muzio +5

Heart failure (HF) affects at least 26 million people worldwide, so predicting adverse events in HF patients represents a major target of clinical data science. However, achieving…

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