Výsledky vyhledávání - "Kelly S. Peterson"

Analysis of a national response to a White House directive for ending veteran suicide

Autor: Andrea F. Kalvesmaki, Alec B. Chapman, Kelly S. Peterson, Mary Jo Pugh, Makoto Jones, Theresa C. Gleason

Publikováno v: Health Serv Res

OBJECTIVE: Analyze responses to a national request for information (RFI) to uncover gaps in policy, practice, and understanding of veteran suicide to inform federal research strategy. DATA SOURCE: An RFI with 21 open‐ended questions generated from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecfaab8c4b7957d6c05e2dd5bb3ff14c
https://doi.org/10.1111/1475-6773.13931

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Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions

Autor: Alec B Chapman, Kelly S Peterson, Elizabeth Rutter, Mckenna Nevers, Mingyuan Zhang, Jian Ying, Makoto Jones, David Classen, Barbara Jones

Publikováno v: JAMIA Open. 5

Objective To evaluate the feasibility, accuracy, and interoperability of a natural language processing (NLP) system that extracts diagnostic assertions of pneumonia in different clinical notes and institutions. Materials and Methods A rule-based NLP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cb4c06208d4596a5bf731aa30effaa0
https://doi.org/10.1093/jamiaopen/ooac114

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Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care

Autor: Alec B Chapman, Kelly S Peterson, Elizabeth Rutter, McKenna Nevers, Mingyuan Zhang, Jian Ying, Makoto Jones, David Classen, Barbara Jones

ObjectiveTo evaluate the feasibility, accuracy, and interoperability of a natural language processing (NLP) system which extracts diagnostic assertions of pneumonia in different clinical notes and institutions.Materials and MethodsAn NLP system was d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d0a588ada73c1b0beb5f0ee9fb4c7fb
https://doi.org/10.1101/2022.05.10.22274910

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Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python

Autor: Hannah, Eyre, Alec B, Chapman, Kelly S, Peterson, Jianlin, Shi, Patrick R, Alba, Makoto M, Jones, Tamára L, Box, Scott L, DuVall, Olga V, Patterson

Publikováno v: AMIA Annu Symp Proc

Despite impressive success of machine learning algorithms in clinical natural language processing (cNLP), rule-based approaches still have a prominent role. In this paper, we introduce medspaCy, an extensible, open-source cNLP library based on spaCy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::83444b5910cba20919644fb76243c1ca
https://pubmed.ncbi.nlm.nih.gov/35308962

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Trends in Illness Severity, Hospitalization, and Mortality for Community-Onset Pneumonia at 118 US Veterans Affairs Medical Centers

Autor: Barbara E, Jones, Jian, Ying, Mckenna R, Nevers, Patrick R, Alba, Olga V, Patterson, Kelly S, Peterson, Elizabeth, Rutter, Matthew A, Christensen, Sarah, Stern, Makoto M, Jones, Adi, Gundlapalli, Nathan C, Dean, Matthew C, Samore, Tome, Greene

Publikováno v: Journal of general internal medicineReferences. 37(15)

Deaths from pneumonia were decreasing globally prior to the COVID-19 pandemic, but it is unclear whether this was due to changes in patient populations, illness severity, diagnosis, hospitalization thresholds, or treatment. Using clinical data from t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bf0808cd32564f4ad363abf209db8167
https://pubmed.ncbi.nlm.nih.gov/35266121

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Detecting Adverse Drug Events with Rapidly Trained Classification Models

Autor: Alec B. Chapman, Olga V. Patterson, Scott L. DuVall, Patrick R. Alba, Kelly S. Peterson

Publikováno v: Drug Safety

Identifying occurrences of medication side effects and adverse drug events (ADEs) is an important and challenging task because they are frequently only mentioned in clinical narrative and are not formally reported. We developed a natural language pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23e58967e5f2289f169df939694ba675
https://doi.org/10.1007/s40264-018-0763-y

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Computerized Mortality Prediction for Community-acquired Pneumonia at 117 Veterans Affairs Medical Centers

Autor: Patrick R. Alba, McKenna Nevers, Elizabeth D. Rutter, Charlene R. Weir, Michael J. Fine, Matthew C. Samore, Tom Greene, Tao He, Jeffrey Humpherys, Adi V. Gundlapalli, Nathan C. Dean, Jian Ying, Makoto Jones, Vanessa Stevens, Kelly S. Peterson, Barbara E. Jones, Olga V. Patterson, Jincheng Shen

Publikováno v: Annals of the American Thoracic Society. 18(7)

Rationale: Computerized severity assessment for community-acquired pneumonia could improve consistency and reduce clinician burden. Objectives: To develop and compare 30-day mortality-prediction mo...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c670247bf2df62f2280de1053b9b26aa
https://pubmed.ncbi.nlm.nih.gov/33635750

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