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Nadav Rappoport
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2020 – today
- 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 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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last updated on 2024-07-27 17:32 CEST by the dblp team
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