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Naama Parush

Showing results (1-10 of 9) with videos related to

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Frontiers in Systems Neuroscience|May 24, 2011
Dopaminergic Balance between Reward Maximization and Policy ComplexityNaama Parush, Naftali Tishby, Hagai Bergman
Studies in Health Technology and Informatics|August 10, 2012
Information-based sequential selection of clinical tests in risk assessmentNaama Parush, Tal El-Hay, Michal Ozery-Flato, et al.
Journal of Neurophysiology|October 10, 2008
Encoding by response duration in the basal gangliaNaama Parush, David Arkadir, Alon Nevet, et al.
Studies in Health Technology and Informatics|April 21, 2017
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR DataMichal Ozery-Flato, Chen Yanover, Assaf Gottlieb, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
A system for identifying and investigating unexpected response to treatmentMichal Ozery-Flato, Liat Ein-Dor, Hani Neuvirth, et al.
Big Data|August 20, 2016
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case StudyMichal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, et al.
Plos One|May 5, 2016
A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care SettingNava Siegelmann-Danieli, Ariel Farkash, Itzhak Katzir, et al.
Diabetology & Metabolic Syndrome|July 17, 2013
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndromeMichal Ozery-Flato, Naama Parush, Tal El-Hay, et al.
Child Abuse & Neglect|January 8, 2026
Data-driven prediction of child neglect and abuse using integrated municipal sourcesNaama Parush Shear Yashuv, Rinat Salem, Ofra Abramson, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Systems Neuroscience|May 24, 2011
Dopaminergic Balance between Reward Maximization and Policy ComplexityNaama Parush, Naftali Tishby, Hagai Bergman
Studies in Health Technology and Informatics|August 10, 2012
Information-based sequential selection of clinical tests in risk assessmentNaama Parush, Tal El-Hay, Michal Ozery-Flato, et al.
Journal of Neurophysiology|October 10, 2008
Encoding by response duration in the basal gangliaNaama Parush, David Arkadir, Alon Nevet, et al.
Studies in Health Technology and Informatics|April 21, 2017
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR DataMichal Ozery-Flato, Chen Yanover, Assaf Gottlieb, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
A system for identifying and investigating unexpected response to treatmentMichal Ozery-Flato, Liat Ein-Dor, Hani Neuvirth, et al.
Big Data|August 20, 2016
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case StudyMichal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, et al.
Plos One|May 5, 2016
A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care SettingNava Siegelmann-Danieli, Ariel Farkash, Itzhak Katzir, et al.
Diabetology & Metabolic Syndrome|July 17, 2013
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndromeMichal Ozery-Flato, Naama Parush, Tal El-Hay, et al.
Child Abuse & Neglect|January 8, 2026
Data-driven prediction of child neglect and abuse using integrated municipal sourcesNaama Parush Shear Yashuv, Rinat Salem, Ofra Abramson, et al.
Pageof 1