Dr. Roni Ramon-Gonen
Knowledge discovery, data mining, text mining, large language models, machine learning, unsupervised learning, and recommender systems
Research
My primary research focuses on developing innovative methodologies to enhance the design, functionality, and quality of organizational information systems. My work spans diverse fields, including healthcare, organizational studies, and data science, with a strong emphasis on applying machine learning to improve clinical outcomes, decision making, and healthcare delivery.
My research interests encompass data mining, text mining, large language models, machine learning, unsupervised learning, and recommender systems
Courses
Data Mining Applications with R, Text Mining, Data Science
Publications
Ramon-Gonen, R., & Gelbard, R. (2017). Cluster evolution analysis: Identification and detection of similar clusters and migration patterns. Expert Systems with Applications, 83, 363-378.
Ramon-Gonen, R., Heart, T., Ben-Assuli, O., Shlomo, N., & Klempfner, R. (2022). Disease evolution and risk-based disease trajectories in congestive heart failure patients. Journal of Biomedical Informatics, 125, 103949.
Gelbard, R., Ramon‐Gonen, R., Carmeli, A., Bittmann, R. M., & Talyansky, R. (2018). Sentiment analysis in organizational work: Towards an ontology of people analytics. Expert Systems, 35(5), e12289.
Ramon-Gonen, R., Dori, A., & Shelly, S. (2023). Towards a practical use of text mining approaches in electrodiagnostic data. Scientific Reports, 13(1), 19483.
Danay, L., Ramon-Gonen, R., Gorodetski, M., & Schwartz, D. G. (2024). Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients. International Journal of Medical Informatics, 191, 105565.
Ben-Assuli, O., Ramon-Gonen, R., Heart, T., Jacobi, A., & Klempfner, R. (2023). Utilizing shared frailty with the Cox proportional hazards regression: Post discharge survival analysis of CHF patients. Journal of Biomedical Informatics, 140, 104340.
Porter, I., Galam, B., & Ramon-Gonen, R. (2023). Emotion detection and its influence on popularity in a social network - based on the American TV series Friends. Social Network Analysis and Mining, 13(1), 123.
Last Updated Date : 12/09/2024
