Journal of Health & Medical Informatics

Nationwide Childrens Hospital, IT Research and Development, 4321 S 18th St, Columbus, OH, 43205-2664, USA

Publications

• Research Article   
  Cohort Identification for Trampoline-associated Traumatic Dental Injuries among Pediatric Patients from Clinical Notes using Machine Learning
  Author(s): Joseph W. Sirrianni*, Jin Peng, Yungui Huang and Homa Amini
  
  Background: Cohort identification is a crucial task for performing retrospective clinical analysis. The utilization of natural language processing, especially the modern and advanced approaches using deep learning modeling, may improve this task by allowing for improved classification of patients by cohort status. However, this utilization has not been applied in the dentaldomain. Objective: We aim to identify patients that suffer trampoline-associated traumatic dental injuries among all trampoline-associatedinjuries. Methods: We develop and apply a natural language processing cohort identification pipeline, consisting of text filtering rules and a machine learning model trained using historic data. The pipeline processes a patient’s clinical notes for a series of temporally related encounters and .. Read More»
  DOI: 10.37421/2157-7420.2022.13.436

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