Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10013, first published .
Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Journals

  1. Kim M, Shin S, Kang M, Yi B, Chang D. Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study. JMIR Medical Informatics 2019;7(3):e14083 View
  2. Yu M, Tsai M. ACS: Construction Data Auto-Correction System—Taiwan Public Construction Data Example. Sustainability 2021;13(1):362 View
  3. Bazoge A, Morin E, Daille B, Gourraud P. Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics 2023;11:e42477 View
  4. Cheng Y, Zhang C, Sangaiah A, Fan X, Wang A, Wang L, Liu Y. Efficient Low-Resource Medical Information Processing Based on Semantic Analysis and Granular Computing. ACM Transactions on Asian and Low-Resource Language Information Processing 2023 View
  5. Bang Y, Choi Y, Park M, Shin S, Kim S. Clinical relevance of deep learning models in predicting the onset timing of cancer pain exacerbation. Scientific Reports 2023;13(1) View
  6. Xu Q, Gu H, Ji S. Text clustering based on pre-trained models and autoencoders. Frontiers in Computational Neuroscience 2024;17 View

Books/Policy Documents

  1. Arpita , Kumar P, Garg K. Evolving Technologies for Computing, Communication and Smart World. View
  2. Li J, Wang J, Zhu G, Yu X, Du S, Abdel S. Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2. View