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>