Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach
Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach
Danila Azzolina
1
* , PhD ;
Silvia Bressan
2
* , PhD ;
Giulia Lorenzoni
3
, PhD ;
Giulia Andrea Baldan
3
, MA ;
Patrizia Bartolotta
3
, MD ;
Federico Scognamiglio
3
, MA ;
Andrea Francavilla
3
, MD ;
Corrado Lanera
3
, PhD ;
Liviana Da Dalt
2
* , MD ;
Dario Gregori
3
* , PhD
1
Department of Environmental and Preventive Sciences, University of Ferrara, Ferrara, Italy
2
Department of Women's and Children's Health, University of Padova, Padua, Italy
3
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padua, Italy
*these authors contributed equally
Corresponding Author:
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Dario Gregori, PhD
-
Unit of Biostatistics, Epidemiology and Public Health
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Department of Cardiac, Thoracic, Vascular Sciences, and Public Health
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University of Padova
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Via Leonardo Loredan 18
-
Padua, 35128
-
Italy
-
Phone:
39 049 8275384
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Email: dario.gregori@unipd.it