Published on in Vol 5, No 4 (2017): Oct-Dec

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

Journals

  1. Chen J, Druhl E, Polepalli Ramesh B, Houston T, Brandt C, Zulman D, Vimalananda V, Malkani S, Yu H. A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews. Journal of Medical Internet Research 2018;20(1):e26 View
  2. Wang Y, Sohn S, Liu S, Shen F, Wang L, Atkinson E, Amin S, Liu H. A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics and Decision Making 2019;19(1) View
  3. Uribe-Toril J, Ruiz-Real J, Nievas-Soriano B. A Study of eHealth from the Perspective of Social Sciences. Healthcare 2021;9(2):108 View
  4. Choudhury A, Elkefi S, Strachna O, Asan O. Effect of patient portals on perception of care quality, general health, and mental health: An exploratory analysis. Human Factors in Healthcare 2022;2:100018 View
  5. van Mens H, Martens S, Paiman E, Mertens A, Nienhuis R, de Keizer N, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071 View
  6. Li X, Zhang Y, Jin J, Sun F, Li N, Liang S, Ijaz M. A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications. PLOS ONE 2023;18(3):e0282824 View

Books/Policy Documents

  1. He Z. Social Web and Health Research. View
  2. Hamed A, Leszczynska A, Schreiber M. The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). View
  3. Abdeen Hamed A, Leszczynska A, Schoenberg M, Temesi G, Verspoor K. Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges. View