Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Netta Shachar"'
Autor:
Tal Kozlovski, Alexis Mitelpunkt, Avner Thaler, Tanya Gurevich, Avi Orr-Urtreger, Mali Gana-Weisz, Netta Shachar, Tal Galili, Mira Marcus-Kalish, Susan Bressman, Karen Marder, Nir Giladi, Yoav Benjamini, Anat Mirelman
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Mutations in the LRRK2 and GBA genes are the most common inherited causes of Parkinson's disease (PD). Studies exploring phenotypic differences based on genetic status used hypothesis-driven data-gathering and statistical-analyses focusing on specifi
Externí odkaz:
https://doaj.org/article/6f6dee9fbded4a3fb7a1f5ee8ea53281
Autor:
Netta Shachar, Noa Bregman, Tal Galili, Tal Kozlovski, Mira Markus-Kalish, Alexis Mitelpunkt, Yoav Benjamini
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
The population of adults with Alzheimer’s disease (AD) varies in needs and outcomes. The heterogeneity of current AD diagnostic subgroups impedes the use of data analytics in clinical trial design and translation of findings into improved care. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::690e659e7ed6922cbad4dba61a059525
http://europepmc.org/articles/PMC6987140
http://europepmc.org/articles/PMC6987140
Publikováno v:
HEALTHINF
Health informatics is facing many challenges these days, in analysing current medical data and especially hospital data towards understanding disease mechanisms, predicting the course of a disease or assist in targeting potential therapeutic options.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64f25253cfe6ef02d6ef36322c1be0b3
https://doi.org/10.5220/0005275705660573
https://doi.org/10.5220/0005275705660573
Publikováno v:
Discovery Science ISBN: 9783319118116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c3c37f51a648752fc45c15e65ef82b
https://doi.org/10.1007/978-3-319-11812-3_7
https://doi.org/10.1007/978-3-319-11812-3_7
Publikováno v:
Discovery Science ISBN: 9783319118116
Discovery Science
Discovery Science
One of the goals of the European Flagship Human Brain Project is to create a platform that will enable scientists to search for new biologically and clinically meaningful discoveries by making use of a large database of neurological data enlisted fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c9fa9cea1a373f8b0b777a549f81ae1
https://doi.org/10.1007/978-3-319-11812-3_31
https://doi.org/10.1007/978-3-319-11812-3_31
Publikováno v:
Brain Informatics
This paper presents homogeneous clusters of patients, identified in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by a total of 243 biological and clinical descriptors. Clustering was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feed3be255a544fdcd309cd903127968
Autor:
Tal Kozlovski, Alexis Mitelpunkt, Avner Thaler, Tanya Gurevich, Avi Orr-Urtreger, Mali Gana-Weisz, Netta Shachar, Tal Galili, Yoav Benjamini, Anat Mirelman
Mutations in the LRRK2 and GBA genes are the most common inherited causes of Parkinson's disease (PD). Studies exploring phenotypic differences based on genetic status used hypothesis-driven data-gathering and statistical-analyses focusing on specifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fee7671173a80943e093a7de0e62392
Autor:
Netta Shachar, Barak Brill, Mira Marcus-Kalish, Yoav Benjamini, Tzviel Frostig, Tal Galili, Tal Kozlovski, Alexis Mitelpunkt
Publikováno v:
JMIR Medical Informatics
Background: The accumulation of data and its accessibility through easier-to-use platforms will allow data scientists and practitioners who are less sophisticated data analysts to get answers by using big data for many purposes in multiple ways. Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d95c2143a7f660b9dc98baf78205336