12 results  1 of 1 

1 Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media
Yuen Chi Phang, Azleena Mohd Kassim, Ernest Mangantig
Healthc Inform Res.2021;27(3):200-213.   Published online 2021 July 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.3.200
      
2 Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study
Dongkyun Kim, Jaehoon Oh, Heeju Im, Myeongseong Yoon, Jiwoo Park, Joohyun Lee
J Korean Med Sci.2021;36(27):e175.  Published online 2021 June 10     DOI: http://dx.doi.org/10.3346/jkms.2021.36.e175
      
3 Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients
Sae Won Choi, Taehoon Ko, Ki Jeong Hong, Kyung Hwan Kim
Healthc Inform Res.2019;25(4):305-312.   Published online 2019 October 31     DOI: http://dx.doi.org/10.4258/hir.2019.25.4.305
      
4 Health Information Technology Trends in Social Media: Using Twitter Data
Jisan Lee, Jeongeun Kim, Yeong Joo Hong, Meihua Piao, Ahjung Byun, Healim Song, Hyeong Suk Lee
Healthc Inform Res.2019;25(2):99-105.   Published online 2019 April 30     DOI: http://dx.doi.org/10.4258/hir.2019.25.2.99
      
5 Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information
Denis Cedeño Moreno, Miguel Vargas-Lombardo
Healthc Inform Res.2018;24(4):376-380.   Published online 2018 October 31     DOI: http://dx.doi.org/10.4258/hir.2018.24.4.376
      
6 Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative
Wangjin Lee, Jinwook Choi
Healthc Inform Res.2018;24(3):179-186.   Published online 2018 July 31     DOI: http://dx.doi.org/10.4258/hir.2018.24.3.179
      
7 Text Mining in Biomedical Domain with Emphasis on Document Clustering
Vinaitheerthan Renganathan
Healthc Inform Res.2017;23(3):141-146.   Published online 2017 July 31     DOI: http://dx.doi.org/10.4258/hir.2017.23.3.141
      
8 Challenges and Practical Approaches with Word Sense Disambiguation of Acronyms and Abbreviations in the Clinical Domain
Sungrim Moon, Bridget McInnes, Genevieve B. Melton
Healthc Inform Res.2015;21(1):35-42.   Published online 2015 January 31     DOI: http://dx.doi.org/10.4258/hir.2015.21.1.35
      
9 Korean Anaphora Recognition System to Develop Healthcare Dialogue-Type Agent
Junggi Yang, Youngho Lee
Healthc Inform Res.2014;20(4):272-279.   Published online 2014 October 31     DOI: http://dx.doi.org/10.4258/hir.2014.20.4.272
      
10 A Multi-Classifier Based Guideline Sentence Classification System
Mi Hwa Song, Sung Hyun Kim, Dong Kyun Park, Young Ho Lee
Healthc Inform Res.2011;17(4):224-231.   Published online 2011 December 31     DOI: http://dx.doi.org/10.4258/hir.2011.17.4.224
      
11 Toward the Automatic Generation of the Entry Level CDA Documents
Sungwon Jung, Seunghee Kim, Sooyoung Yoo, Jinwook Choi
J Korean Soc Med Inform.2009;15(1):141-151.   Published online 2009 March 31     DOI: http://dx.doi.org/10.4258/jksmi.2009.15.1.141
      
12 Correction System of a Mis-recognized Medical Vocabulary of Speech-based Electronic Medical Record
Hwa Jeong Seo, Ju Han Kim
J Korean Soc Med Inform.2002;8(4):11-20.   Published online 2002 December 31     DOI: http://dx.doi.org/10.4258/jksmi.2002.8.4.11
   

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