Scholar
Nadav Rappoport
Google Scholar ID: zL-QE0cAAAAJ
Software and Information Systems Engineering, Ben-Gurion University of the Negev
Citations & Impact
Citations
2,410
H-index
15
i10-index
24
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Optimizing Operation Room Utilization—A Prediction Model; CPLLM: Clinical prediction with large language models; A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study.
Research Experience
- Multi-dimensional lab test analysis; Mortality risk prediction in the ICU; Disease risk prediction using genetic interaction data; Large Language Models (LLMs) in the clinic.
Background
- Research interests lie in the area of Machine learning, Big biomedical data, and Clinical genomics. The focus is on developing new machine learning and deep learning methods to handle various types of clinical data (such as EHRs, biomolecular, genetic data, etc.) to advance personalized medicine.
Miscellany
- Collaborations include Soroka, U Michigan, Mt. Sinai, UCLA, Hadassah Ein Karem, Macabbi, MOH, Ichilov, UCSF, Hillel Yaffe, Huji, etc.
Co-authors