Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Haseena, Rajeevan"'
1
Akademický článek
Deep learning prediction of hospital readmissions for asthma and COPD
Autor: Kevin Lopez, Huan Li, Zachary Lipkin-Moore, Shannon Kay, Haseena Rajeevan, J. Lucian Davis, F. Perry Wilson, Carolyn L. Rochester, Jose L. Gomez
Publikováno v: Respiratory Research, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Question Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and
Externí odkaz: https://doaj.org/article/d8e438fa2849484a931dd47fa559cc69
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3
Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain
Autor: Sarah L. Krein, Allison M Halat, R. Ross MacLean, David R. Williams, Chelsey Solar, Matthew J. Bair, Haseena Rajeevan, Robert D. Kerns, Alicia A. Heapy, Diana M. Higgins
Publikováno v: Translational Behavioral Medicine. 11:1274-1282
Internet-based interventions for chronic pain have demonstrated efficacy and may address access barriers to care. Participant characteristics have been shown to affect engagement with these programs; however, limited information is available about th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fb353410d294ce4d5e1127d8c94bf3a
https://doi.org/10.1093/tbm/ibaa098
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4
Interrupted Time Series of User‐centered Clinical Decision Support Implementation for Emergency Department–initiated Buprenorphine for Opioid Use Disorder
Autor: Edward R. Melnick, Haseena Rajeevan, Hyung Paek, Charles Lu, Fangyong Li, Wesley C. Holland, Bidisha Nath, Kaitlin Maciejewski, James Dziura, Liliya Katsovich, Gail D'Onofrio
Publikováno v: Academic Emergency Medicine
Objectives Adoption of emergency department (ED) initiation of buprenorphine (BUP) for opioid use disorder (OUD) into routine emergency care has been slow, partly due to clinicians’ unfamiliarity with this practice and perceptions that it is compli
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f004de55fa2f76c594bc39a66f8e181f
http://europepmc.org/articles/PMC7496559
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5
If you personalize it, will they use it?: Self-reported and observed use of a tailored, internet-based pain self-management program
Autor: Lillian Reuman, Chelsey Solar, R Ross MacLean, Allison M Halat, Haseena Rajeevan, David A Williams, Alicia A Heapy, Matthew J Bair, Sarah L Krein, Robert D Kerns, Diana M Higgins
Publikováno v: Transl Behav Med
Little is known about how individuals with chronic pain use tailored internet-based interventions. This study is the first to compare self-reported skill module use to observed module access and to examine each of these in relationship to tailored re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdbd6aacf090e53b2ecd4aab6eb7379
https://europepmc.org/articles/PMC9154266/
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6
Akademický článek
Semantic Web-Based Integration of Cancer Pathways and Allele Frequency Data
Autor: Matthew E. Holford, Haseena Rajeevan, Hongyu Zhao, Kenneth K. Kidd, Kei-Hoi Cheung
Publikováno v: Cancer Informatics, Vol 2009, Iss Semantic Technologie, Pp 19-30 (2009)
We demonstrate the use of Semantic Web technology to integrate the ALFRED allele frequency database and the Starpath pathway resource. The linking of population-specific genotype data with cancer-related pathway data is potentially useful given the g
Externí odkaz: https://doaj.org/article/eebd787d2924436cb86bf4043aa3ba4b
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7
Akademický článek
Semantic Web-Based Integration of Cancer Pathways and Allele Frequency Data
Autor: Kenneth K. Kidd, Kei-Hoi Cheung, Hongyu Zhao, E. Holford, Haseena Rajeevan
Publikováno v: Cancer Informatics, Vol 8, Iss Semantic Technologie, Pp 19-30 (2009)
We demonstrate the use of Semantic Web technology to integrate the ALFRED allele frequency database and the Starpath pathway resource. The linking of population-specific genotype data with cancer-related pathway data is potentially useful given the g
Externí odkaz: https://doaj.org/article/e973dff12b8540529374ee6ff7e02bd1
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8
Akademický článek
ALFRED: An Allele Frequency Database for Microevolutionary Studies
Autor: Kenneth K Kidd, Perry L Miller, Andrew J Pakstis, Judith R Kidd, Usha Soundararajan, Shannon Stein, Rohit Gadagkar, Kei-Hoi Cheung, Haseena Rajeevan
Publikováno v: Evolutionary Bioinformatics, Vol 1, Pp 1-10 (2005)
Many kinds of microevolutionary studies require data on multiple polymorphisms in multiple populations. Increasingly, and especially for human populations, multiple research groups collect relevant data and those data are dispersed widely in the lite
Externí odkaz: https://doaj.org/article/c2453d4aafb94e8aa91a4eb5a17555ee
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9
A fast likelihood approach for estimation of large phylogenies from continuous trait data
Autor: Arindam RoyChoudhury, Haseena Rajeevan, Jing Peng, Laura Kubatko
Publikováno v: Molecular phylogenetics and evolution. 161
Despite the recent availability of large-scale genomic data for many individuals, few methods for phylogenetic inference are both computationally efficient and highly accurate for trees with hundreds of taxa. Model-based methods such as those develop
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04bcc5f5a38624b4c1f454396bd5789d
https://pubmed.ncbi.nlm.nih.gov/33713799
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