Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Genady Beryozkin"'
Autor:
Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment h
Externí odkaz:
https://doaj.org/article/6a32025b021f4a09a6c4aebd3e1cc543
Autor:
Rony Amira, Michael D. Howell, Genady Beryozkin, Ming Jack Po, Jeffrey Dean, Itay Laish, Scott Ellis, Danny Vainstein, Yossi Matias, Idan Szpektor, Tzvika Hartman, Greg S. Corrado, Ronit Slyper, Gavin Edward Bee, Avinatan Hassidim, Katherine Chou, Oren Gilon, Jutta Williams, Shlomo Hoory
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-9 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been l
Publikováno v:
EMNLP (Findings)
We propose a simple and effective method for machine translation evaluation which does not require reference translations. Our approach is based on (1) grounding the entity mentions found in each source sentence and candidate translation against a la
Autor:
Itay Laish, Avinatan Hassidim, Idan Szpektor, Izhak Shafran, Genady Beryozkin, Tzvika Hartman, Yossi Matias, Gang Li, Ido Cohn
Publikováno v:
NAACL-HLT (2)
Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bdf1fd0081c5bfe00c1aface6cbbec6
http://arxiv.org/abs/1903.07037
http://arxiv.org/abs/1903.07037