Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Kristin Glass"'
Autor:
Rajani Sharma, D. Kyle Hogarth, Richard Colbaugh, Kristin Glass, Adel Mezine, Vassia Liakoni, Christopher Rudolf, Iris Himmelhan, Jimmy Hinson, Marie Sanchirico
Publikováno v:
COPD, Vol 21, Iss 1 (2024)
Identifying patients with rare diseases like alpha-1 antitrypsin deficiency (AATD) is challenging. Machine-learning models may be trained to identify patients with rare diseases using large-scale, real-world databases, whereas electronic medical reco
Externí odkaz:
https://doaj.org/article/cca809a779c34b388b654a7c4b152cc0
The ubiquity of smartphones in modern life suggests the possibility to use them to continuously monitor patients, for instance to detect undiagnosed diseases or track treatment progress. Such data collection and analysis may be especially beneficial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9950212815cca3d32e1a77eae847be
https://doi.org/10.1101/2020.10.03.20206235
https://doi.org/10.1101/2020.10.03.20206235
Autor:
Rich Colbaugh, Kristin Glass
There is considerable interest in developing computational models capable of detecting rare disease patients in population-scale databases such as electronic health records (EHRs). Deriving these models is challenging for several reasons, perhaps the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc0c12e0c50d802c58391ec3e3109a7
https://doi.org/10.1101/2020.07.06.20147322
https://doi.org/10.1101/2020.07.06.20147322
Autor:
Kristin Glass, Rich Colbaugh
Publikováno v:
SMC
Countering the substantial threat posed by antimicrobial resistance (AMR) requires the capability to predict pathogen resistance phenotype quickly and accurately. Deriving computational models to form such predictions is challenging for several reaso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8711c05261cc12a507d2795143531a68
https://doi.org/10.1109/smc.2019.8913913
https://doi.org/10.1109/smc.2019.8913913
Autor:
Kristin Glass, Rich Colbaugh
Publikováno v:
EMBC
There is considerable interest in developing methods for early detection of medical advances which are likely to lead to effective treatments. Because the number of potentially significant discoveries published each year is very large, practically-us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde772f55b0a4db3b0bf903034508f81
https://pubmed.ncbi.nlm.nih.gov/30441447
https://pubmed.ncbi.nlm.nih.gov/30441447
Publikováno v:
EMBC
There is substantial interest in developing prediction models capable of identifying rare disease patients in population-scale databases such as electronic health records (EHRs). Deriving these models is challenging for many reasons, perhaps the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6ecaad5bd66ae5d0d3709de0e8c3a2
https://doi.org/10.1109/embc.2018.8513241
https://doi.org/10.1109/embc.2018.8513241
Publikováno v:
EMBC
There is considerable interest in developing inexpensive, nonintrusive diagnostic tests for Alzheimer's disease (AD), in the hope these tests will facilitate early diagnosis and support design of effective treatments. While tests based on blood-borne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6edfa3424431fba91b1a265fbc568109
https://pubmed.ncbi.nlm.nih.gov/29060554
https://pubmed.ncbi.nlm.nih.gov/29060554
Autor:
Kristin Glass, Richard Colbaugh
Publikováno v:
QRS Companion
Asymmetries in adversarial systems arise from differences in the "situations" of attackers and defenders, for instance corresponding to differences in information access or cost/benefit tradeoffs. While numerous studies have shown that asymmetry is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18f6a3bdaa47332301a290046a72ce72
https://doi.org/10.1109/qrs-c.2016.55
https://doi.org/10.1109/qrs-c.2016.55
Publikováno v:
Value in Health. 21:S375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d452cf453c6690799d37cb0cf91dfd8
https://doi.org/10.1016/j.jval.2018.09.2233
https://doi.org/10.1016/j.jval.2018.09.2233
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 388:3283-3287
We show how one can completely reconstruct even moderately optimized configurations of the Forest Fire model with relatively few observations. We discuss the relationship between the deep information from limited observations (DILO) to the robust-yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30a82f5d6206191f4bf8adf4db3f352
https://doi.org/10.1016/j.physa.2009.05.019
https://doi.org/10.1016/j.physa.2009.05.019