| 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 | 159 | 2019 |
| Changing the approach to treatment choice in epilepsy using big data O Devinsky, C Dilley, M Ozery-Flato, R Aharonov, Y Goldschmidt, ... Epilepsy & Behavior 56, 32-37, 2016 | 67 | 2016 |
| Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ... EBioMedicine 9, 170-179, 2016 | 49 | 2016 |
| Characteristics and symptoms of app users seeking COVID-19–related digital health information and remote services: retrospective cohort study A Perlman, A Vodonos Zilberg, P Bak, M Dreyfuss, M Leventer-Roberts, ... Journal of medical Internet research 22 (10), e23197, 2020 | 39 | 2020 |
| 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 | 33 | 2019 |
| Framework for identifying drug repurposing candidates from observational healthcare data M Ozery-Flato, Y Goldschmidt, O Shaham, S Ravid, C Yanover Jamia Open 3 (4), 536-544, 2020 | 26 | 2020 |
| Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins Z Waks, O Weissbrod, B Carmeli, R Norel, F Utro, Y Goldschmidt Scientific reports 6 (1), 38988, 2016 | 26 | 2016 |
| Modular memoization, tracking and train-data management of feature extraction R Aharonov, Y Goldschmidt, M Ozery-Flato, C Yanover US Patent 10,572,822, 2020 | 23 | 2020 |
| Estimating the effects of second-line therapy for type 2 diabetes mellitus: retrospective cohort study A Gottlieb, C Yanover, A Cahan, Y Goldschmidt BMJ Open Diabetes Research and Care 5 (1), e000435, 2017 | 21 | 2017 |
| Fast and efficient feature engineering for multi-cohort analysis of EHR data M Ozery-Flato, C Yanover, A Gottlieb, O Weissbrod, ... Informatics for Health: Connected Citizen-Led Wellness and Population Health …, 2017 | 17 | 2017 |
| Integrated multisystem analysis in a mental health and criminal justice ecosystem E Falconer, T El-Hay, D Alevras, JP Docherty, C Yanover, A Kalton, ... Health & Justice 5, 1-8, 2017 | 15 | 2017 |
| Automatic detection of anomalies in graphs Y Goldschmidt, O Lavi, M Ninio US Patent 9,245,233, 2016 | 15 | 2016 |
| Emulated clinical trials from longitudinal real-world data efficiently identify candidates for neurological disease modification: examples from parkinson’s disease D Laifenfeld, C Yanover, M Ozery-Flato, O Shaham, M Rosen-Zvi, N Lev, ... Frontiers in Pharmacology 12, 631584, 2021 | 11 | 2021 |
| Paradoxical hypersusceptibility of drug-resistant Mycobacterium tuberculosis to beta-lactam antibiotics. EBioMedicine 9: 170–179 KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ... | 8 | 2016 |
| Workflow validation and execution E Aharoni, Y Goldschmidt, T Lavee, H Neuvirth-Telem US Patent 8,601,481, 2013 | 8 | 2013 |
| Smarter log analysis E Aharoni, S Fine, Y Goldschmidt, O Lavi, O Margalit, M Rosen-Zvi, ... IBM Journal of Research and Development 55 (5), 10: 1-10: 10, 2011 | 8 | 2011 |
| A standard based approach for biomedical knowledge representation A Farkash, H Neuvirth, Y Goldschmidt, C Conti, F Rizzi, S Bianchi, E Salvi, ... Studies in health technology and informatics 169, 689-693, 2011 | 5 | 2011 |
| Characterizing subpopulations by exposure response RY Aharonov, T El-Hay, M Flato, Y Goldschmidt, NP Shear-Yashuv, ... US Patent App. 14/953,514, 2017 | 4 | 2017 |
| Automatic detection of anomalies in graphs Y Goldschmidt, O Lavi, M Ninio US Patent App. 14/839,981, 2016 | 4 | 2016 |
| Characterizing Subpopulations with Better Response to Treatment Using Observational Data–an Epilepsy Case Study M Ozery-Flato, T El-Hay, R Aharonov, N Parush-Shear-Yashuv, ... bioRxiv, 290585, 2018 | 3 | 2018 |
