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Ofrit Bar-Bachar

Showing results (1-10 of 7) with videos related to

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Pain|May 7, 2016
Nonpainful wide-area compression inhibits experimental painLiat Honigman, Ofrit Bar-Bachar, David Yarnitsky, et al.
Studies in Health Technology and Informatics|August 24, 2019
Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing DataMaxim Topaz, Ludmila Murga, Ofrit Bar-Bachar, et al.
Computers, Informatics, Nursing : CIN|September 4, 2019
NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word EmbeddingMaxim Topaz, Ludmila Murga, Ofrit Bar-Bachar, et al.
Informatics for Health & Social Care|March 29, 2019
Patient-centered care via health information technology: a qualitative study with experts from Israel and the U.SMaxim Topaz, Ofrit Bar-Bachar, Hanna Admi, et al.
Research in Nursing & Health|September 12, 2018
Improving patient prioritization during hospital-homecare transition: A pilot study of a clinical decision support toolMaxim Topaz, MaryGrace Trifilio, Donna Maloney, et al.
The Journal of Allergy and Clinical Immunology|February 6, 2019
Mining social media data to assess the risk of skin and soft tissue infections from allergen immunotherapyKimberly G Blumenthal, Maxim Topaz, Li Zhou, et al.
Journal of Biomedical Informatics|January 15, 2019
Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approachesMaxim Topaz, Ludmila Murga, Katherine M Gaddis, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Pain|May 7, 2016
Nonpainful wide-area compression inhibits experimental painLiat Honigman, Ofrit Bar-Bachar, David Yarnitsky, et al.
Studies in Health Technology and Informatics|August 24, 2019
Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing DataMaxim Topaz, Ludmila Murga, Ofrit Bar-Bachar, et al.
Computers, Informatics, Nursing : CIN|September 4, 2019
NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word EmbeddingMaxim Topaz, Ludmila Murga, Ofrit Bar-Bachar, et al.
Informatics for Health & Social Care|March 29, 2019
Patient-centered care via health information technology: a qualitative study with experts from Israel and the U.SMaxim Topaz, Ofrit Bar-Bachar, Hanna Admi, et al.
Research in Nursing & Health|September 12, 2018
Improving patient prioritization during hospital-homecare transition: A pilot study of a clinical decision support toolMaxim Topaz, MaryGrace Trifilio, Donna Maloney, et al.
The Journal of Allergy and Clinical Immunology|February 6, 2019
Mining social media data to assess the risk of skin and soft tissue infections from allergen immunotherapyKimberly G Blumenthal, Maxim Topaz, Li Zhou, et al.
Journal of Biomedical Informatics|January 15, 2019
Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approachesMaxim Topaz, Ludmila Murga, Katherine M Gaddis, et al.
Pageof 1