Výsledky vyhledávání - "Justin Morea"

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Autor: Shaun J. Grannis, Joshua R. Vest, Paul K. Halverson, Nir Menachemi, Justin Morea, Suranga N. Kasthurirathne

Publikováno v: JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 7, p e16129 (2020)

Background Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1ef7bea11d9ab7c6ea8f4c8291b7e5
http://europepmc.org/articles/PMC7380999

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Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation (Preprint)

Autor: Suranga N Kasthurirathne, Shaun Grannis, Paul K Halverson, Justin Morea, Nir Menachemi, Joshua R Vest

BACKGROUND Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07bc7bf2175f68d2d88c464172f20106
https://doi.org/10.2196/preprints.16129

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Multi-Center Colonoscopy Quality Measurement Utilizing Natural Language Processing

Publikováno v: American Journal of Gastroenterology. 110:543-552

Background An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness of colorectal cancer (CRC) screening and surveillance. The purpose of this study was to create and tes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3cb2ba671423abb0afad5c1c46ec0e5
https://doi.org/10.1038/ajg.2015.51

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Regenstrief Institute's Medical Gopher: A next-generation homegrown electronic medical record system

Autor: Douglas K. Martin, Blaine Y. Takesue, Jon Duke, Brian E. Dixon, Justin Morea, Burke W. Mamlin, Linas Simonaitis, Paul R. Dexter

Publikováno v: International Journal of Medical Informatics. 83:170-179

Objective Regenstrief Institute developed one of the seminal computerized order entry systems, the Medical Gopher, for implementation at Wishard Hospital nearly three decades ago. Wishard Hospital and Regenstrief remain committed to homegrown softwar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4e6f4d95146058556f74581e5d59d9e
https://doi.org/10.1016/j.ijmedinf.2013.11.004

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Clinical decision support with natural language processing facilitates determination of colonoscopy surveillance intervals

Autor: Justin Morea, Timothy D. Imler, Thomas F. Imperiale

Publikováno v: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association. 12(7)

With an increased emphasis on improving quality and decreasing costs, new tools are needed to improve adherence to evidence-based practices and guidelines in endoscopy. We investigated the ability of an automated system that uses natural language pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07e4effa30e6ae61dc0df8035b20c27
https://pubmed.ncbi.nlm.nih.gov/24316106

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NATURAL LANGUAGE PROCESSING ACCURATELY CATEGORIZES FINDINGS FROM COLONOSCOPY AND PATHOLOGY REPORTS

Autor: Justin Morea, Timothy D. Imler, Charles J. Kahi, Thomas F. Imperiale

Little is known about the ability of natural language processing (NLP) to extract meaningful information from free-text gastroenterology reports for secondary use.We randomly selected 500 linked colonoscopy and pathology reports from 10,798 nonsurvei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b029ab133fe345adac1f8700df9f71b
https://europepmc.org/articles/PMC4026927/

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Design of a medication reconciliation application: facilitating clinician-focused decision making with data from multiple sources

Autor: Michael Weiner, Alissa L. Russ, Justin Morea, Jason Cadwallader, Jon Duke, Ken Spry

Publikováno v: Applied clinical informatics. 4(1)

SummaryBackground: Medication reconciliation is an essential, but resource-intensive process without a “gold standard” to measure medication adherence. Medication reconciliation applications that focus on facilitating clinicians’ decision-makin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35af7849a57178a0cebf524df3a9e7ae
https://pubmed.ncbi.nlm.nih.gov/23650492

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