Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Naama, Parush"'
Autor:
Nava Siegelmann-Danieli, Ariel Farkash, Itzhak Katzir, Janet Vesterman Landes, Hadas Rotem Rabinovich, Yossef Lomnicky, Boaz Carmeli, Naama Parush-Shear-Yashuv
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0154689 (2016)
BACKGROUND:Randomized clinical trials constitute the gold-standard for evaluating new anti-cancer therapies; however, real-life data are key in complementing clinically useful information. We developed a computational tool for real-life data analysis
Externí odkaz:
https://doaj.org/article/3dc87e349e094ea78248044e1c406d7f
Autor:
Jianying Hu, Michal Ozery-Flato, Liat Ein-Dor, Martin S. Kohn, Hani Neuvirth, Ranit Aharonov, Naama Parush-Shear-Yashuv
Publikováno v:
Big Data. 4:148-159
The availability of electronic health records creates fertile ground for developing computational models of various medical conditions. We present a new approach for detecting and analyzing patients with unexpected responses to treatment, building on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d49d72b22fec9c7dadf409c9e826d44e
https://doi.org/10.1089/big.2016.0017
https://doi.org/10.1089/big.2016.0017
Autor:
Michal, Ozery-Flato, Chen, Yanover, Assaf, Gottlieb, Omer, Weissbrod, Naama, Parush Shear-Yashuv, Yaara, Goldschmidt
Publikováno v:
Studies in health technology and informatics. 235
We present a framework for feature engineering, tailored for longitudinal structured data, such as electronic health records (EHRs). To fast-track feature engineering and extraction, the framework combines general-use plug-in extractors, a multi-coho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7656dbfa0e4038f2c90ff52db78644a1
https://pubmed.ncbi.nlm.nih.gov/28423779
https://pubmed.ncbi.nlm.nih.gov/28423779
Autor:
Naama Parush-Shear-Yashuv, Hadas Rotem Rabinovich, Boaz Carmeli, Itzhak Katzir, Ariel Farkash, Nava Siegelmann-Danieli, Janet Vesterman Landes, Yossef Lomnicky
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0154689 (2016)
PLoS ONE
PLoS ONE
Background Randomized clinical trials constitute the gold-standard for evaluating new anti-cancer therapies; however, real-life data are key in complementing clinically useful information. We developed a computational tool for real-life data analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d42c496212af1202c58ed08a3381d5
http://europepmc.org/articles/PMC4856262?pdf=render
http://europepmc.org/articles/PMC4856262?pdf=render
Autor:
Michal, Ozery-Flato, Liat, Ein-Dor, Hani, Neuvirth, Naama, Parush, Martin S, Kohn, Jianying, Hu, Ranit, Aharonov
Publikováno v:
AMIA Summits on Translational Science Proceedings
The availability of electronic health records creates fertile ground for developing computational models for various medical conditions. Using machine learning, we can detect patients with unexpected responses to treatment and provide statistical tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f13dacb5decbadbb0337a23ca7a70533
https://pubmed.ncbi.nlm.nih.gov/26306256
https://pubmed.ncbi.nlm.nih.gov/26306256
Autor:
Naama Parush, Tal El-Hay, Ligita Ryliškytė, Milda Kovaitė, Michal Ozery-Flato, Aleksandras Laucevičius, Žydrūnė Visockienė, Rokas Navickas, Jolita Badarienė, Svetlana Solovjova
Publikováno v:
Diabetology & Metabolic Syndrome
Objective To investigate the predictive value of different biomarkers for the incidence of type 2 diabetes mellitus (T2DM) in subjects with metabolic syndrome. Methods A prospective study of 525 non-diabetic, middle-aged Lithuanian men and women with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bce7bdfbf82664a086b40af20b87f4d
https://doi.org/10.1186/1758-5996-5-36
https://doi.org/10.1186/1758-5996-5-36
Autor:
Naama, Parush, Tal, El-Hay, Michal, Ozery-Flato, Ligita, Ryliskyte, Zydrune, Visockiene, Aleksandras, Laucevicius
Publikováno v:
Studies in health technology and informatics. 180
We present a new framework for supporting decisions in sequential clinical risk assessment examinations. In this framework, the decision whether to perform a test depends on its expected contribution to risk assessment, given results of previous test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::45986a7f9ac4adcbafee5428906b7a89
https://pubmed.ncbi.nlm.nih.gov/22874298
https://pubmed.ncbi.nlm.nih.gov/22874298
Publikováno v:
ICAC
The popularization of both virtualization and CDP technologies mean that we can now watch disk accesses of systems from entities which are not controlled by the OS. This is a rich source of information about the system's inner workings. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9976f876b896684bf9b537d9ca964d72
https://doi.org/10.1145/1555228.1555251
https://doi.org/10.1145/1555228.1555251
Autor:
Naftali Tishby, Israel Nelken, Genela Morris, David Arkadir, Alon Nevet, Naama Parush, Hagai Bergman
Publikováno v:
Journal of neurophysiology. 100(6)
Several models have suggested that information transmission in the basal ganglia (BG) involves gating mechanisms, where neuronal activity modulates the extent of gate aperture and its duration. Here, we demonstrate that BG response duration is inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d344ce287868095daed6217ab7f7606c
https://pubmed.ncbi.nlm.nih.gov/18842956
https://pubmed.ncbi.nlm.nih.gov/18842956
Autor:
Naama Parush
Publikováno v:
Journal of Neurophysiology; Dec2008, Vol. 100 Issue 6, p3244-3252, 9p