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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10986, first published .
Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Journals

  1. Kobayashi R, Ishizaki M. Examining the Interaction Between Medical Information Seeking Online and Understanding: Exploratory Study. JMIR Cancer 2019;5(2):e13240 View
  2. Lavorgna L, Brigo F, Esposito S, Abbadessa G, Sparaco M, Lanzillo R, Moccia M, Inglese M, Bonfanti L, Trojsi F, Spina E, Russo A, De Micco P, Clerico M, Tedeschi G, Bonavita S. Public Engagement and Neurology: An Update. Brain Sciences 2021;11(4):429 View
  3. Liu Y, Ji M, Lin S, Zhao M, Lyv Z. Combining Readability Formulas and Machine Learning for Reader-oriented Evaluation of Online Health Resources. IEEE Access 2021;9:67610 View
  4. Xie W, Ji M, Liu Y, Hao T, Chow C. Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach. JMIR Medical Informatics 2021;9(7):e30115 View

Books/Policy Documents

  1. Kelly L, Suominen H, Goeuriot L, Neves M, Kanoulas E, Li D, Azzopardi L, Spijker R, Zuccon G, Scells H, Palotti J. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View
  2. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View