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Ehud Karavani
Ehud Karavani
Research Staff Member at IBM Research
Dirección de correo verificada de ibm.com
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Año
Predicting breast cancer by applying deep learning to linked health records and mammograms
A Akselrod-Ballin, M Chorev, Y Shoshan, A Spiro, A Hazan, R Melamed, ...
Radiology 292 (2), 331-342, 2019
1542019
Screening human embryos for polygenic traits has limited utility
E Karavani, O Zuk, D Zeevi, N Barzilai, NC Stefanis, A Hatzimanolis, ...
Cell 179 (6), 1424-1435. e8, 2019
1062019
Benchmarking framework for performance-evaluation of causal inference analysis
Y Shimoni, C Yanover, E Karavani, Y Goldschmnidt
arXiv preprint arXiv:1802.05046, 2018
442018
In vivo cleavage rules and target repertoire of RNase III in Escherichia coli
Y Altuvia, A Bar, N Reiss, E Karavani, L Argaman, H Margalit
Nucleic acids research 46 (19), 10380-10394, 2018
432018
An evaluation toolkit to guide model selection and cohort definition in causal inference
Y Shimoni, E Karavani, S Ravid, P Bak, TH Ng, SH Alford, D Meade, ...
arXiv preprint arXiv:1906.00442, 2019
332019
Causalvis: Visualizations for causal inference
G Guo, E Karavani, A Endert, BC Kwon
Proceedings of the 2023 CHI conference on human factors in computing systems …, 2023
102023
Propensity score models are better when post-calibrated
R Gutman, E Karavani, Y Shimoni
arXiv preprint arXiv:2211.01221, 2022
42022
FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization
D Machado Reyes, A Bose, E Karavani, L Parida
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2023
3*2023
A discriminative approach for finding and characterizing positivity violations using decision trees
E Karavani, P Bak, Y Shimoni
arXiv preprint arXiv:1907.08127, 2019
32019
Comment: causal inference competitions: where should we aim?
E Karavani, T El-Hay, Y Shimoni, C Yanover
22019
Distributed anonymous scoring technique
Y Shimoni, E Karavani, S Ravid, MY Ninio, R Melamed
US Patent 11,563,576, 2023
12023
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
L Ter-Minassian, L Szlak, E Karavani, C Holmes, Y Shimoni
arXiv preprint arXiv:2401.17737, 2024
2024
Detecting positivity violations in multidimensional data
P Bak, E Karavani, Y Shimoni
US Patent 11,354,297, 2022
2022
Trends in clinical characteristics and associations of severe non-respiratory events related to SARS-CoV-2
T El-Hay, E Karavani, A Peretz, M Ninio, S Ravid, M Chorev, M Rosen-Zvi, ...
medRxiv, 2021.03. 24.21251900, 2021
2021
RW3 FRAMEWORK FOR RELIABLE VALUE ASSESSMENT OF TREATMENTS USING CAUSAL ANALYSIS OF OBSERVATIONAL DATA: SUPPORT MATCHING BIOLOGICAL THERAPY TO RHEUMATOID ARTHRITIS PATIENTS
Y Shimoni, S Ravid, P Bak, E Karavani, SH Alford, D Meade, ...
Value in Health 22, S389, 2019
2019
SA51THE LIMITS OF POLYGENIC EMBRYO SELECTION FOR COGNITIVE ABILITY
T Lencz, E Karavani, M Lam, N Barzilai, N Stefanis, A Hatzimanolis, ...
European Neuropsychopharmacology 29, S1215-S1216, 2019
2019
The Limits of Polygenic Embryo Selection for Cognitive Ability
T Lencz, E Karavani, M Lam, N Barzilai, N Stefanis, A Hatzimanolis, ...
NEUROPSYCHOPHARMACOLOGY 43, S319-S319, 2018
2018
Improving Inverse Probability Weighting by Post-calibrating Its Propensity Scores
R Gutman, E Karavani, Y Shimoni
Epidemiology, 10.1097, 0
Single-Microglia Transcriptomic Transition Network-Based Prediction and Real-World Patient Data Validation Identifies Ketorolac as a Repurposable Drug for Alzheimer's Disease
J Xu, M Danziger, Z Wu, C Zang, Y Zhou, Y Hou, E Karavani, Y Shimoni, ...
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Artículos 1–19