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Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches.

Yuqun ZengXu-Sheng LiuYanshan WangFeichen ShenSijia LiuMajid Rastegar-MojaradLiwei WangHongfang Liu
Published in: Journal of medical Internet research (2017)
This study demonstrated that topic modeling can mitigate the vocabulary difference and it achieved the best performance in recommending education materials for answering patients' questions. One direction for future work is to assess the generalizability of our findings and to extend our study to other disease areas, other patient education material resources, and online forums.
Keyphrases
  • healthcare
  • end stage renal disease
  • quality improvement
  • type diabetes
  • chronic kidney disease
  • newly diagnosed
  • prognostic factors
  • health information
  • current status
  • patient reported outcomes