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Health Information Science and Systems|November 1, 2021
External validation of Machine Learning models for COVID-19 detection based on Complete Blood CountAndrea Campagner, Anna Carobene, Federico Cabitza
Medical & Biological Engineering & Computing|March 30, 2022
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patientsLorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.
Clinical Chemistry and Laboratory Medicine|August 1, 2021
The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurandsAnna Carobene, Andrea Campagner, Christian Uccheddu, et al.
International Journal of Medical Informatics|June 10, 2021
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studiesFederico Cabitza, Andrea Campagner
Studies in Health Technology and Informatics|June 24, 2020
Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground TruthAndrea Campagner, Federico Cabitza
Annals of Translational Medicine|May 13, 2020
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that mattersFederico Cabitza, Andrea Campagner, Clara Balsano
Studies in Health Technology and Informatics|June 24, 2020
H-Accuracy, an Alternative Metric to Assess Classification Models in MedicineAndrea Campagner, Luca Sconfienza, Federico Cabitza
Studies in Health Technology and Informatics|May 25, 2022
A Confidence Interval-Based Method for Classifier Re-CalibrationAndrea Campagner, Lorenzo Famiglini, Federico Cabitza
Computer Methods and Programs in Biomedicine|June 11, 2022
Decisions are not all equal-Introducing a utility metric based on case-wise raters' perceptionsAndrea Campagner, Federico Sternini, Federico Cabitza
Acta Bio-Medica : Atenei Parmensis|February 2, 2021
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 ItalyDavide Ferrari, Anna Carobene, Andrea Campagner, et al.
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