Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rebecca S, Jacobson"'
Autor:
Uma R Chandran, Olga P Medvedeva, M Michael Barmada, Philip D Blood, Anish Chakka, Soumya Luthra, Antonio Ferreira, Kim F Wong, Adrian V Lee, Zhihui Zhang, Robert Budden, J Ray Scott, Annerose Berndt, Jeremy M Berg, Rebecca S Jacobson
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0165395 (2016)
The Cancer Genome Atlas Project (TCGA) is a National Cancer Institute effort to profile at least 500 cases of 20 different tumor types using genomic platforms and to make these data, both raw and processed, available to all researchers. TCGA data are
Externí odkaz:
https://doaj.org/article/cbff19bf021f4dc4a1edfcf54f7fcaea
Autor:
Albert Geskin, Elizabeth Legowski, Anish Chakka, Uma R Chandran, M Michael Barmada, William A LaFramboise, Jeremy Berg, Rebecca S Jacobson
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0131166 (2015)
Next Generation Sequencing (NGS) methods are driving profound changes in biomedical research, with a growing impact on patient care. Many academic medical centers are evaluating potential models to prepare for the rapid increase in NGS information ne
Externí odkaz:
https://doaj.org/article/5c1a3bfa87684022aecab460fa3c1926
Autor:
Carmelo Gaudioso, Thaer Khoury, Mateusz Opyrchal, Rouzan G. Karabakhtsian, Li Yan, Yisheng V. Fang, Dan Wang, Souzan Sanati, Zaibo Li, Rebecca S. Jacobson, Mohamed M. Desouki
Publikováno v:
The Breast Journal. 24:41-50
Breast carcinoma with skin ulceration (SU) is considered a locally advanced disease. The purpose of the study is to investigate if SU is an independent adverse factor. Breast carcinoma patients with SU (n=111) were included in the study. A subset (n=
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3314ca78df6b5923278cab6fb62590
https://doi.org/10.1111/tbj.12830
https://doi.org/10.1111/tbj.12830
DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records
Autor:
Girish Chavan, Guergana Savova, Eugene Tseytlin, Chen Lin, Timothy A. Miller, Sean Finan, Olga Medvedeva, Melissa Castine, David J. Harris, Harry Hochheiser, Rebecca S. Jacobson
Publikováno v:
Cancer research. 77(21)
Precise phenotype information is needed to understand the effects of genetic and epigenetic changes on tumor behavior and responsiveness. Extraction and representation of cancer phenotypes is currently mostly performed manually, making it difficult t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3115bf2a71eec1da1e66a7082a836341
https://pubmed.ncbi.nlm.nih.gov/29092954
https://pubmed.ncbi.nlm.nih.gov/29092954
Autor:
Olga Medvedeva, Sergio M. Castro, Kevin J. Mitchell, Eugene Tseytlin, Shyam Visweswaran, Rebecca S. Jacobson, Tanja Bekhuis
Publikováno v:
Journal of biomedical informatics. 69
Display Omitted We developed an NLP system to extract all BI-RADS categories from breast radiology reports.We evaluate the results of existing of an NLP system using a multi-step approach.ML classifiers can detect and assign laterality to all BI-RADS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e50e5e5875d4572b7d4204cfc97606c
https://pubmed.ncbi.nlm.nih.gov/28428140
https://pubmed.ncbi.nlm.nih.gov/28428140
Autor:
Zach, Landis-Lewis, Gerald P, Douglas, Harry, Hochheiser, Matthew, Kam, Oliver, Gadabu, Mwatha, Bwanali, Rebecca S, Jacobson
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2015
Although performance feedback has the potential to help clinicians improve the quality and safety of care, healthcare organizations generally lack knowledge about how this guidance is best provided. In low-resource settings, tools for theory-informed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c2d360befc5a94daf53810bbcf12c375
https://pubmed.ncbi.nlm.nih.gov/26958217
https://pubmed.ncbi.nlm.nih.gov/26958217
Autor:
Girish Chavan, Rebecca S. Jacobson, Julia Corrigan, Eugene Tseytlin, Elizabeth Legowski, Kevin J. Mitchell
Publikováno v:
BMC Bioinformatics
Background Natural language processing (NLP) applications are increasingly important in biomedical data analysis, knowledge engineering, and decision support. Concept recognition is an important component task for NLP pipelines, and can be either gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05391f91a4970beb9e7ca0e58c622bf9
http://europepmc.org/articles/PMC4712516
http://europepmc.org/articles/PMC4712516
Autor:
Philip D. Blood, Anish Chakka, Kim F. Wong, J. Ray Scott, Robert Budden, M. Michael Barmada, Uma R. Chandran, Rebecca S. Jacobson, Antonio Ferreira, Zhihui Zhang, Olga Medvedeva, Soumya Luthra, Annerose Berndt, Jeremy M Berg, Adrian V. Lee
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0165395 (2016)
PLoS ONE
PLoS ONE
Background The Cancer Genome Atlas Project (TCGA) is a National Cancer Institute effort to profile at least 500 cases of 20 different tumor types using genomic platforms and to make these data, both raw and processed, available to all researchers. TC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830f8aa7b9983e30889072e5735c3b6d
http://europepmc.org/articles/PMC5082933?pdf=render
http://europepmc.org/articles/PMC5082933?pdf=render
Publikováno v:
F1000Research. 7:1721
One of the major challenges in the development of medical Intelligent Tutoring Systems (ITS) is the development of authored content, a time-consuming process that requires participation of discipline experts. In this publication, we describe the deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b24c3754cfbac9940f72eb609aa2699
https://doi.org/10.12688/f1000research.16060.1
https://doi.org/10.12688/f1000research.16060.1
Autor:
Mayurapriyan Sakthivel, Eugene Tseytlin, Elizabeth Legowski, Roni J. Bollag, Rajiv Dhir, Michael J. Becich, Kevin J. Mitchell, Julia Corrigan, Carmelo Gaudioso, Michael Feldman, Girish Chavan, JoEllen Weaver, Monica L. Murphy, Nita J. Maihle, Rebecca S. Jacobson
Publikováno v:
Cancer research. 75(24)
Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564877061fd91b2624e3cc180b2203f2
https://pubmed.ncbi.nlm.nih.gov/26670560
https://pubmed.ncbi.nlm.nih.gov/26670560