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

Tools, Programs and Algorithms (266) Natural Language Processing (692) Electronic Health Records (1053)

Published on in Vol 3, No 3 (2015): Jul-Sep

Context-Sensitive Spelling Correction of Consumer-Generated Content on Health Care

Context-Sensitive Spelling Correction of Consumer-Generated Content on Health Care

Context-Sensitive Spelling Correction of Consumer-Generated Content on Health Care

Authors of this article:

Xiaofang Zhou1, 2 Author Orcid Image ;   An Zheng2 Author Orcid Image ;   Jiaheng Yin2, 3 Author Orcid Image ;   Rudan Chen2 Author Orcid Image ;   Xianyang Zhao2 Author Orcid Image ;   Wei Xu2 Author Orcid Image ;   Wenqing Cheng2 Author Orcid Image ;   Tian Xia2, 4 Author Orcid Image ;   Simon Lin5 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Sarker A, Gonzalez-Hernandez G. An unsupervised and customizable misspelling generator for mining noisy health-related text sources. Journal of Biomedical Informatics 2018;88:98 View
  2. Dirkson A, Verberne S, Sarker A, Kraaij W. Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technologies and Interaction 2019;3(3):60 View
  3. Yazdani A, Ghazisaeedi M, Ahmadinejad N, Giti M, Amjadi H, Nahvijou A. Automated Misspelling Detection and Correction in Persian Clinical Text. Journal of Digital Imaging 2020;33(3):555 View
  4. Sarker A, Jonathan W. LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts. Bioinformatics 2021;37(16):2499 View
  5. Kim T, Han S, Kang M, Lee S, Kim J, Joo H, Sohn J. Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports. JMIR Medical Informatics 2021;9(2):e25530 View
  6. Hernández J, Molina F, Almela Á. Analysis of Context-Dependent Errors in the Medical Domain in Spanish: A Corpus-Based Study. Sage Open 2023;13(1) View
  7. Tetzlaff L, Heinrich A, Schadewitz R, Thomeczek C, Schrader T. Die Analyse des CIRSmedical.de mittels Natural Language Processing. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2022;169:1 View
  8. Dashti S, Dashti S. Improving the quality of Persian clinical text with a novel spelling correction system. BMC Medical Informatics and Decision Making 2024;24(1) View

Books/Policy Documents

  1. López-Hernández J, Almela Á, Valencia-García R. Technologies and Innovation. View