Renu Balyan

Applying Natural Language Processing and Hierarchical Machine Learning Approaches to Text Difficulty Classification

Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara · International Journal of Artificial Intelligence in Education · 2020 · 50 citations

Natural Language Processing, Engineering, Information Retrieval +11

Precision communication: Physicians’ linguistic adaptation to patients’ health literacy

Dean Schillinger, Nicholas D. Duran, Danielle S. McNamara et al. · Science Advances · 2021 · 48 citations · Full text

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study

Renu Balyan, Scott A. Crossley, William Brown et al. · PLoS ONE · 2019 · 35 citations · Full text

Health Care Disparity, Machine Learning, Health Disparities +21

Predicting the readability of physicians’ secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study

Scott A. Crossley, Renu Balyan, Jennifer Y. Liu et al. · Journal of Communications In Healthcare · 2020 · 21 citations · Full text

Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study

William Brown, Renu Balyan, Andrew J. Karter et al. · Journal of Biomedical Informatics · 2020 · 20 citations · Full text

Nursing, Machine Learning, Health Policy +10