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Ran Gilad-Bachrach

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Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|December 26, 2024
Guidance on reporting the use of natural language processing methodsRan Gilad-Bachrach, Uri Obolski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Full body gait analysis with KinectMoshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, et al.
NPJ Digital Medicine|June 1, 2026
A generative approach for semantic auditing of electronic health recordsIrena Girshovitz, Atai Ambus, Moni Shahar, et al.
Journal of Medical Internet Research|May 28, 2021
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival DataSigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, et al.
Preventive Medicine|June 20, 2024
Impact of body mass index and examination type on utilization of screening programs: A big data studyYarin Udi, Ran Gilad-Bachrach, Hilla Cohen, et al.
BMC Medical Genomics|October 13, 2018
Logistic regression over encrypted data from fully homomorphic encryptionHao Chen, Ran Gilad-Bachrach, Kyoohyung Han, et al.
Sensors (Basel, Switzerland)|September 23, 2022
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's DiseaseYonatan E Brand, Dafna Schwartz, Eran Gazit, et al.
Child and Adolescent Psychiatry and Mental Health|April 15, 2024
Impact of Long-COVID in children: a large cohort studyZiv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, et al.
Annals of Epidemiology|July 23, 2025
Machine learning in epidemiology: An introduction, comparison with traditional methods, and a case study of predicting extreme longevityDor Atias, Saar Ashri, Uri Goldbourt, et al.
Proceedings of Machine Learning Research|September 27, 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining DataAmnon Catav, Boyang Fu, Yazeed Zoabi, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|December 26, 2024
Guidance on reporting the use of natural language processing methodsRan Gilad-Bachrach, Uri Obolski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Full body gait analysis with KinectMoshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, et al.
NPJ Digital Medicine|June 1, 2026
A generative approach for semantic auditing of electronic health recordsIrena Girshovitz, Atai Ambus, Moni Shahar, et al.
Journal of Medical Internet Research|May 28, 2021
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival DataSigal Shaklai, Ran Gilad-Bachrach, Elad Yom-Tov, et al.
Preventive Medicine|June 20, 2024
Impact of body mass index and examination type on utilization of screening programs: A big data studyYarin Udi, Ran Gilad-Bachrach, Hilla Cohen, et al.
BMC Medical Genomics|October 13, 2018
Logistic regression over encrypted data from fully homomorphic encryptionHao Chen, Ran Gilad-Bachrach, Kyoohyung Han, et al.
Sensors (Basel, Switzerland)|September 23, 2022
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's DiseaseYonatan E Brand, Dafna Schwartz, Eran Gazit, et al.
Child and Adolescent Psychiatry and Mental Health|April 15, 2024
Impact of Long-COVID in children: a large cohort studyZiv Hersh, Yiska Loewenberg Weisband, Ariel Bogan, et al.
Annals of Epidemiology|July 23, 2025
Machine learning in epidemiology: An introduction, comparison with traditional methods, and a case study of predicting extreme longevityDor Atias, Saar Ashri, Uri Goldbourt, et al.
Proceedings of Machine Learning Research|September 27, 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining DataAmnon Catav, Boyang Fu, Yazeed Zoabi, et al.
Pageof 2