Nadav Rappoport

According to our database, Nadav Rappoport authored at least 23 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Surgery Duration Prediction Using Multi-Task Feature Selection.

David Azriel, Yosef Rinott, Orna Tal, Benyamine Abbou, Nadav Rappoport

IEEE J. Biomed. Health Informatics, July, 2024

Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup.

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

J. Am. Medical Informatics Assoc., January, 2024

MedConceptsQA: Open source medical concepts QA benchmark.

Ofir Ben Shoham, Nadav Rappoport

Comput. Biol. Medicine, 2024

DSF-GAN: Downstream Feedback Generative Adversarial Network.

Oriel Perets, Nadav Rappoport

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.

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

J. Am. Medical Informatics Assoc., April, 2023

CPLLM: Clinical Prediction with Large Language Models.

Ofir Ben Shoham, Nadav Rappoport

CoRR, 2023

Ensemble Synthetic EHR Generation for Increasing Subpopulation Model's Performance.

Oriel Perets, Nadav Rappoport

CoRR, 2023

Federated Learning of Medical Concepts Embedding using BEHRT.

Ofir Ben Shoham, Nadav Rappoport

CoRR, 2023

2022

ProteinBERT: a universal deep-learning model of protein sequence and function.

Nadav Brandes, Dan Ofer, Yam Peleg, Nadav Rappoport, Michal Linial

Bioinform., 2022

Optimizing Operation Room Utilization - A Prediction Model.

Benyamine Abbou, Orna Tal, Gil Frenkel, Robyn Rubin, Nadav Rappoport

Big Data Cogn. Comput., 2022

Deviation of Physiological from Chronological Age Is Associated with Health.

Lin Peretz, Nadav Rappoport

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Multi-Dimensional Laboratory Test Score as a Proxy for Health.

Bar H. Ezra, Shreyas Havaldar, Benjamin S. Glicksberg, Nadav Rappoport

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset.

Gerta Salillari, Nadav Rappoport

Proceedings of the Artificial Intelligence in Medicine, 2022

Improving Prediction Models' Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period.

Tomer Hermelin, Pierre Singer, Nadav Rappoport

Proceedings of the Artificial Intelligence in Medicine, 2022

2019

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.

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

Bioinform., 2019

2015

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.).

Nadav Rappoport

PhD thesis, 2015

ProtoBug: functional families from the complete proteomes of insects.

Nadav Rappoport, Michal Linial

Database J. Biol. Databases Curation, 2015

2014

NeuroPID: a classifier of neuropeptide precursors.

Solange Karsenty, Nadav Rappoport, Dan Ofer, Adva Zair, Michal Linial

Nucleic Acids Res., 2014

Entropy-driven partitioning of the hierarchical protein space.

Nadav Rappoport, Amos Stern, Nathan Linial, Michal Linial

Bioinform., 2014

2013

Functional inference by ProtoNet family tree: the uncharacterized proteome of Daphnia pulex.

Nadav Rappoport, Michal Linial

BMC Bioinform., 2013

2012

Viral Proteins Acquired from a Host Converge to Simplified Domain Architectures.

Nadav Rappoport, Michal Linial

PLoS Comput. Biol., 2012

ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.

Nadav Rappoport, Solange Karsenty, Amos Stern, Nathan Linial, Michal Linial

Nucleic Acids Res., 2012

2010

PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations.

Nadav Rappoport, Menachem Fromer, Regev Schweiger, Michal Linial

Nucleic Acids Res., 2010