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ORCIDNadav Rappoport
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2020 – today
- 2024
[j14]Ofir Ben Shoham
, Nadav Rappoport:
MedConceptsQA: Open source medical concepts QA benchmark. Comput. Biol. Medicine 182: 109089 (2024)- [j13]Nephi A. Walton, Radhakrishnan Nagarajan, Chen Wang, Murat Sincan, Robert R. Freimuth, David B. Everman, Derek C. Walton, Scott P. McGrath, Dominick J. Lemas, Panayiotis V. Benos, Alexander V. Alekseyenko, Qianqian Song, Ece D. Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas N. Person, Nadav Rappoport, Zhongming Zhao, Marc S. Williams:
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. J. Am. Medical Informatics Assoc. 31(2): 536-541 (2024) - [j12]David Azriel, Yosef Rinott, Orna Tal, Benyamine Abbou, Nadav Rappoport:
Surgery Duration Prediction Using Multi-Task Feature Selection. IEEE J. Biomed. Health Informatics 28(7): 4216-4223 (2024) - [c5]Oriel Perets, Nadav Rappoport:
DSF-GAN: Downstream Feedback Generative Adversarial Network. Tiny Papers @ ICLR 2024 - [i5]Oriel Perets, Nadav Rappoport:
DSF-GAN: DownStream Feedback Generative Adversarial Network. CoRR abs/2403.18267 (2024) - [i4]Ofir Ben Shoham, Nadav Rappoport:
MedConceptsQA: Open Source Medical Concepts QA Benchmark. CoRR abs/2405.07348 (2024) - 2023
- [j11]Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023) - [i3]Ofir Ben Shoham, Nadav Rappoport:
Federated Learning of Medical Concepts Embedding using BEHRT. CoRR abs/2305.13052 (2023) - [i2]Oriel Perets, Nadav Rappoport:
Ensemble Synthetic EHR Generation for Increasing Subpopulation Model's Performance. CoRR abs/2305.16363 (2023) - [i1]Ofir Ben Shoham, Nadav Rappoport:
CPLLM: Clinical Prediction with Large Language Models. CoRR abs/2309.11295 (2023) - 2022
- [j10]Benyamine Abbou, Orna Tal, Gil Frenkel, Robyn Rubin, Nadav Rappoport:
Optimizing Operation Room Utilization - A Prediction Model. Big Data Cogn. Comput. 6(3): 76 (2022) - [j9]Nadav Brandes, Dan Ofer, Yam Peleg, Nadav Rappoport, Michal Linial:
ProteinBERT: a universal deep-learning model of protein sequence and function. Bioinform. 38(8): 2102-2110 (2022) - [c4]Tomer Hermelin, Pierre Singer, Nadav Rappoport:
Improving Prediction Models' Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period. AIME 2022: 167-177 - [c3]Gerta Salillari, Nadav Rappoport:
Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset. AIME 2022: 210-219 - [c2]Bar H. Ezra, Shreyas Havaldar, Benjamin S. Glicksberg, Nadav Rappoport:
Multi-Dimensional Laboratory Test Score as a Proxy for Health. MIE 2022: 219-223 - [c1]Lin Peretz, Nadav Rappoport:
Deviation of Physiological from Chronological Age Is Associated with Health. MIE 2022: 224-228
2010 – 2019
- 2019
- [j8]Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A. Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte:
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35(21): 4515-4518 (2019) - 2015
- [b1]Nadav Rappoport:
Gaining functional and quantitative knowledge on genes and molecular machines using a computational approach (שער נוסף בעברית: הפקת ידע תיפקודי וכמותי על גנים ומכונות מולקולריות בעזרת גישות חישוביות.). Hebrew University of Jerusalem, Israel, 2015 - [j7]Nadav Rappoport, Michal Linial:
ProtoBug: functional families from the complete proteomes of insects. Database J. Biol. Databases Curation 2015 (2015) - 2014
- [j6]Nadav Rappoport, Amos Stern, Nathan Linial, Michal Linial:
Entropy-driven partitioning of the hierarchical protein space. Bioinform. 30(17): 624-630 (2014) - [j5]Solange Karsenty, Nadav Rappoport, Dan Ofer, Adva Zair, Michal Linial:
NeuroPID: a classifier of neuropeptide precursors. Nucleic Acids Res. 42(Webserver-Issue): 182-186 (2014) - 2013
- [j4]Nadav Rappoport, Michal Linial:
Functional inference by ProtoNet family tree: the uncharacterized proteome of Daphnia pulex. BMC Bioinform. 14(S-3): S11 (2013) - 2012
- [j3]Nadav Rappoport, Solange Karsenty, Amos Stern, Nathan Linial, Michal Linial:
ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree. Nucleic Acids Res. 40(Database-Issue): 313-320 (2012) - [j2]Nadav Rappoport, Michal Linial:
Viral Proteins Acquired from a Host Converge to Simplified Domain Architectures. PLoS Comput. Biol. 8(2) (2012) - 2010
- [j1]Nadav Rappoport, Menachem Fromer, Regev Schweiger, Michal Linial:
PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations. Nucleic Acids Res. 38(Web-Server-Issue): 84-89 (2010)
Coauthor Index
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