Robert Moskovitch
Affiliations: | 2013-2016 | Biomedical Informatics | Columbia University, New York, NY |
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"Robert Moskovitch"
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| Itzhak N, Pessach IM, Moskovitch R. (2023) Prediction of acute hypertensive episodes in critically ill patients. Artificial Intelligence in Medicine. 139: 102525 |
| Novitski P, Cohen CM, Karasik A, et al. (2022) Temporal patterns selection for All-Cause Mortality prediction in T2D with ANNs. Journal of Biomedical Informatics. 134: 104198 |
| Novitski P, Cohen CM, Karasik A, et al. (2022) All-cause mortality prediction in T2D patients with iTirps. Artificial Intelligence in Medicine. 130: 102325 |
| Mateless R, Rejabek D, Margalit O, et al. (2020) Decompiled APK based malicious code classification Future Generation Computer Systems. 110: 135-147 |
| Moskovitch R, Shahar Y, Wang F, et al. (2019) Temporal Biomedical Data Analytics. Journal of Biomedical Informatics |
| Shknevsky A, Shahar Y, Moskovitch R. (2017) Consistent Discovery of Frequent Interval-Based Temporal Patterns in Chronic Patients' Data. Journal of Biomedical Informatics |
| Moskovitch R, Polubriaginof F, Weiss A, et al. (2017) Procedure Prediction from Symbolic Electronic Health Records via Time Intervals Analytics. Journal of Biomedical Informatics |
| Nissim N, Shahar Y, Elovici Y, et al. (2017) Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artificial Intelligence in Medicine |
| Moskovitch R, Choi H, Hripcsak G, et al. (2016) Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm |
| Nissim N, Boland MR, Tatonetti NP, et al. (2016) Improving Condition Severity Classification with an Efficient Active Learning Based Framework. Journal of Biomedical Informatics |