Published on in Vol 19, No 11 (2017): November

Preprints (earlier versions) of this paper are available at, first published .
Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes


  1. Zhou L, Cheng C, Ou D, Huang H. Construction of a semi-automatic ICD-10 coding system. BMC Medical Informatics and Decision Making 2020;20(1) View
  2. Chien T, Chow J, Chou W. An App Detecting Dengue Fever in Children: Using Sequencing Symptom Patterns for a Web-Based Assessment. JMIR mHealth and uHealth 2019;7(5):e11461 View
  3. Hu B, Bajracharya A, Yu H. Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation. JMIR Medical Informatics 2020;8(1):e14971 View
  4. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
  5. Lin C, Lou Y, Tsai D, Lee C, Hsu C, Wu D, Wang M, Fang W. Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study. JMIR Medical Informatics 2019;7(3):e14499 View
  6. Li R, Hu B, Liu F, Liu W, Cunningham F, McManus D, Yu H. Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach. JMIR Medical Informatics 2019;7(1):e10788 View
  7. Morgan J, Harper P, Knight V, Artemiou A, Carney A, Nelson A. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 2019;70(9):1425 View
  8. Barash Y, Guralnik G, Tau N, Soffer S, Levy T, Shimon O, Zimlichman E, Konen E, Klang E. Comparison of deep learning models for natural language processing-based classification of non-English head CT reports. Neuroradiology 2020;62(10):1247 View
  9. Gaudet-Blavignac C, Foufi V, Bjelogrlic M, Lovis C. Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review. Journal of Medical Internet Research 2021;23(1):e24594 View
  10. Mustafa A, Rahimi Azghadi M. Automated Machine Learning for Healthcare and Clinical Notes Analysis. Computers 2021;10(2):24 View
  11. Hsing S, Lee C, Lin C, Chen J, Chen Y, Fang W. The Severity of Diabetic Retinopathy Is an Independent Factor for the Progression of Diabetic Nephropathy. Journal of Clinical Medicine 2020;10(1):3 View
  12. Chang D, Lin C, Tsao T, Lee C, Chen J, Tsai C, Lin W, Lin C. Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography. International Journal of Environmental Research and Public Health 2021;18(7):3839 View
  13. Chang E, Mostafa J. The use of SNOMED CT, 2013-2020: a literature review. Journal of the American Medical Informatics Association 2021;28(9):2017 View
  14. Lin C, Lee Y, Fang W, Lou Y, Kuo F, Lee C, Lin C. Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study. Journal of Personalized Medicine 2021;11(8):725 View
  15. dos Santos B, Steiner M, Lima R. Proposal of a method to classify female smokers based on data mining techniques. Computers & Industrial Engineering 2022;170:108363 View
  16. Lin C, Lee Y, Wu F, Lin S, Hsu C, Lee C, Tsai D, Fang W. The Application of Projection Word Embeddings on Medical Records Scoring System. Healthcare 2021;9(10):1298 View
  17. Binsfeld Gonçalves L, Nesic I, Obradovic M, Stieltjes B, Weikert T, Bremerich J. Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame. JMIR Medical Informatics 2022;10(12):e40534 View
  18. Kaur R, Ginige J, Obst O. AI-based ICD coding and classification approaches using discharge summaries: A systematic literature review. Expert Systems with Applications 2023;213:118997 View
  19. Yang X, Mu D, Peng H, Li H, Wang Y, Wang P, Wang Y, Han S. Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review. JMIR Medical Informatics 2022;10(4):e33799 View
  20. Viscosi C, Fidelbo P, Benedetto A, Varvarà M, Ferrante M. Selection of diagnosis with oncologic relevance information from histopathology free text reports: A machine learning approach. International Journal of Medical Informatics 2022;160:104714 View
  21. Luo W, Hu H, Lakshmanna K. Analysis of the Path of Utilizing Big Data to Innovate Archive Management Mode to Enhance Service Capability. Wireless Communications and Mobile Computing 2022;2022:1 View
  22. Ponthongmak W, Thammasudjarit R, McKay G, Attia J, Theera-Ampornpunt N, Thakkinstian A. Development and external validation of automated ICD-10 coding from discharge summaries using deep learning approaches. Informatics in Medicine Unlocked 2023;38:101227 View
  23. Khalifa A, Obeid J, Erno J, Rockey D. The role of artificial intelligence in hepatology research and practice. Current Opinion in Gastroenterology 2023;39(3):175 View
  24. Sun Y. Artificial Intelligence Method for Accurate Translation of Fuzzy Semantics in English Language and Literature. International Journal on Semantic Web and Information Systems 2023;19(1):1 View
  25. Fraile Navarro D, Ijaz K, Rezazadegan D, Rahimi-Ardabili H, Dras M, Coiera E, Berkovsky S. Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review. International Journal of Medical Informatics 2023;177:105122 View

Books/Policy Documents

  1. Mishra A, Mohapatra S, Bisoy S. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. View