Research output per year
Research output per year
Personal profile
Research interests
- Machine Learning
- Big Biomedical data
- Prediction models
- Population genetics
- Biomarkers
- Deep Learning
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Dive into the research topics where Nadav Rappoport is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study
Ostropolets, A., Albogami, Y., Conover, M., Banda, J. M., Baumgartner, W. A., Blacketer, C., Desai, P., DuVall, S. L., Fortin, S., Gilbert, J. P., Golozar, A., Ide, J., Kanter, A. S., Kern, D. M., Kim, C., Lai, L. Y. H., Li, C., Liu, F., Lynch, K. E., Minty, E., & 18 others, 1 May 2023, In: Journal of the American Medical Informatics Association. 30, 5, p. 859-868 10 p.Research output: Contribution to journal › Article › peer-review
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Resternotomy Coronary Artery Bypass 1999-2018: Insights From The Society of Thoracic Surgeons Adult Cardiac Surgery Database
Rappoport, N., Aviel, G., Shahian, D. M., Korach, A., Carmi, S., Keaney, J. F. & Shapira, O. M., 1 Jan 2023, In: Annals of Thoracic Surgery. 115, 1, p. 62-71 10 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset.
Salillari, G. & Rappoport, N., 9 Jul 2022, Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Michalowski, M., Abidi, S. S. R. & Abidi, S. (eds.). Springer Cham, p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13263 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deviation of Physiological from Chronological Age Is Associated with Health
Peretz, L. & Rappoport, N., 2022, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Seroussi, B., Weber, P., Dhombres, F., Grouin, C., Liebe, J-D., Liebe, J-D., Liebe, J-D., Pelayo, S., Pinna, A., Rance, B., Rance, B., Sacchi, L., Ugon, A., Ugon, A., Benis, A. & Gallos, P. (eds.). IOS Press BV, p. 224-228 5 p. (Studies in Health Technology and Informatics; vol. 294).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Identification of a pleiotropic effect of ADIPOQ on cardiac dysfunction and Alzheimer’s disease based on genetic evidence and health care records
Paik, H., Lee, J., Jeong, C. S., Park, J. S., Lee, J. H., Rappoport, N., Kim, Y., Sohn, H. Y., Jo, C., Kim, J. & Cho, S. B., 1 Dec 2022, In: Translational Psychiatry. 12, 1, 389.Research output: Contribution to journal › Article › peer-review
Open Access -
Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period
Hermelin, T., Singer, P. & Rappoport, N., 9 Jul 2022, Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Michalowski, M., Abidi, S. S. R. & Abidi, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 167-177 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13263 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Multi-Dimensional Laboratory Test Score as a Proxy for Health.
Ezra, B. H., Havaldar, S., Glicksberg, B. S. & Rappoport, N., 2022, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Seroussi, B., Weber, P., Dhombres, F., Grouin, C., Liebe, J-D., Liebe, J-D., Liebe, J-D., Pelayo, S., Pinna, A., Rance, B., Rance, B., Sacchi, L., Ugon, A., Ugon, A., Benis, A. & Gallos, P. (eds.). IOS Press BV, p. 219-223 5 p. (Studies in Health Technology and Informatics; vol. 294).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Optimizing Operation Room Utilization—A Prediction Model
Abbou, B., Tal, O., Frenkel, G., Rubin, R. & Rappoport, N., 1 Sep 2022, In: Big Data and Cognitive Computing. 6, 3, 76.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
ProteinBERT: a universal deep-learning model of protein sequence and function
Brandes, N., Ofer, D., Peleg, Y., Rappoport, N. & Linial, M., 15 Apr 2022, In: Bioinformatics. 38, 8, p. 2102-2110 9 p.Research output: Contribution to journal › Article › peer-review
Open Access57 Scopus citations -
Revisiting the Risk Factors for Endometriosis: A Machine Learning Approach
Blass, I., Sahar, T., Shraibman, A., Ofer, D., Rappoport, N. & Linial, M., 1 Jul 2022, In: Journal of Personalized Medicine. 12, 7, 1114.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Thesis
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Gaining functional and quantitative knowledge on genes and molecular machines using a computational approach
Author: Rappoport, N., 2015Supervisor: Linial, M. (External person) (Supervisor)
Student thesis: Doctoral Thesis
Press/Media
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Can machine learning help diagnose patients, determine biological age?
3/10/22
1 item of Media coverage
Press/Media
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Equipment
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Big Biomedical data lab
Nadav Rappoport (PI)
Department of Software and Information Systems EngineeringEquipment/facility: lab