10.25384/SAGE.8058671.v1
Giulia Lorenzoni
Giulia
Lorenzoni
Silvia Bressan
Silvia
Bressan
Corrado Lanera
Corrado
Lanera
Danila Azzolina
Danila
Azzolina
Liviana Da Dalt
Liviana
Da Dalt
Dario Gregori
Dario
Gregori
Supplementary_material_MCRR_revised – Supplemental material for Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua
SAGE Journals
2019
emergency department visits
low- and middle-income countries
free-text discharge diagnosis
Spanish
random forest
classification task
2019-04-29 12:00:00
Journal contribution
https://sage.figshare.com/articles/journal_contribution/Supplementary_material_MCRR_revised_Supplemental_material_for_Analysis_of_Unstructured_Text-Based_Data_Using_Machine_Learning_Techniques_The_Case_of_Pediatric_Emergency_Department_Records_in_Nicaragua/8058671
<p>Supplemental material, Supplementary_material_MCRR_revised for Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua by Giulia Lorenzoni, Silvia Bressan, Corrado Lanera, Danila Azzolina, Liviana Da Dalt and Dario Gregori in Medical Care Research and Review</p>