Published on in Vol 5, No 2 (2017): Apr-Jun

Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records

Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records

Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records

Authors of this article:

Marco Duz 1 Author Orcid Image ;   John F Marshall 2 Author Orcid Image ;   Tim Parkin 2 Author Orcid Image

Journals

  1. Duz M, Marshall J, Parkin T. Proportion of nonsteroidal anti‐inflammatory drug prescription in equine practice. Equine Veterinary Journal 2019;51(2):147 View
  2. Kim J, Wang Y, Fujiwara T, Okuda S, Callahan T, Cohen K, Wren J. Open Agile text mining for bioinformatics: the PubAnnotation ecosystem. Bioinformatics 2019;35(21):4372 View
  3. Kim S, Park D, Choi Y, Lee K, Kim B, Jeon M, Kim J, Tan A, Kang J. A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis. JMIR Medical Informatics 2018;6(1):e2 View
  4. Hardjojo A, Gunachandran A, Pang L, Abdullah M, Wah W, Chong J, Goh E, Teo S, Lim G, Lee M, Hsu W, Lee V, Chen M, Wong F, Phang J. Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore. JMIR Medical Informatics 2018;6(2):e36 View
  5. Jones-Diette J, Dean R, Cobb M, Brennan M. Validation of text-mining and content analysis techniques using data collected from veterinary practice management software systems in the UK. Preventive Veterinary Medicine 2019;167:61 View
  6. Li R, Niu Y, Scott S, Zhou C, Lan L, Liang Z, Li J. Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study. JMIR Medical Informatics 2021;9(8):e24405 View
  7. McKenzie J, Rajapakshe R, Shen H, Rajapakshe S, Lin A. A Semiautomated Chart Review for Assessing the Development of Radiation Pneumonitis Using Natural Language Processing: Diagnostic Accuracy and Feasibility Study. JMIR Medical Informatics 2021;9(11):e29241 View
  8. Van Olmen J, Van Nooten J, Philips H, Sollie A, Daelemans W. Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study. JMIR Medical Informatics 2022;10(4):e37771 View

Books/Policy Documents

  1. Singleton D, Williams N, Radford A. Infection Control in Small Animal Clinical Practice. View