This paper is in the following e-collection/theme issue:

Language Processing, Classifiers, and Syndrome Definitions (47)

Published on in Vol 9, No 1 (2017):

Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records

Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records

Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records

Authors of this article:

Lisa Lix1 ;   Sree Nihit Munakala2 ;   Alexander Singer3
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Rivas R, Montazeri N, Le N, Hristidis V. Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms. Journal of Medical Internet Research 2018;20(11):e11141 View
  2. Alzubi R, Alzoubi H, Katsigiannis S, West D, Ramzan N. Automated Detection of Substance-Use Status and Related Information from Clinical Text. Sensors 2022;22(24):9609 View
  3. Kim H, Park Y, Park Y, Choi E, Kim S, You H, Bae Y. Identifying Alcohol-Related Information From Unstructured Bilingual Clinical Notes With Multilingual Transformers. IEEE Access 2023;11:16066 View
  4. Kim H, Park Y, Kim Y, Yi S, Park Y, So S, Lee H, Bae Y. EILEEN: A Multi-Modal Framework for Extracting Alcohol Consumption Patterns From Bilingual Clinical Notes. IEEE Access 2025;13:25741 View

Conference Proceedings

  1. Alzoubi H, Ramzan N, Alzubi R, Mesbahi E. 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE). An Automated System for Identifying Alcohol Use Status from Clinical Text View
  2. Kugic A, Potjan L, Hammer L, Schulz S, Kreuzthaler M. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI). Alcohol Status Standardization from Clinical Real World Data with Transformer Architectures View