Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376642009> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4376642009 endingPage "e070869" @default.
- W4376642009 startingPage "e070869" @default.
- W4376642009 abstract "Introduction Sustained viral suppression, an indicator of long-term treatment success and mortality reduction, is one of four strategic areas of the ‘Ending the HIV Epidemic’ federal campaign launched in 2019. Under-represented populations, like racial or ethnic minority populations, sexual and gender minority groups, and socioeconomically disadvantaged populations, are disproportionately affected by HIV and experience a more striking virological failure. The COVID-19 pandemic might magnify the risk of incomplete viral suppression among under-represented people living with HIV (PLWH) due to interruptions in healthcare access and other worsened socioeconomic and environmental conditions. However, biomedical research rarely includes under-represented populations, resulting in biased algorithms. This proposal targets a broadly defined under-represented HIV population. It aims to develop a personalised viral suppression prediction model using machine learning (ML) techniques by incorporating multilevel factors using All of Us (AoU) data. Methods and analysis This cohort study will use data from the AoU research programme, which aims to recruit a broad, diverse group of US populations historically under-represented in biomedical research. The programme harmonises data from multiple sources on an ongoing basis. It has recruited ~4800 PLWH with a series of self-reported survey data (eg, Lifestyle, Healthcare Access, COVID-19 Participant Experience) and relevant longitudinal electronic health records data. We will examine the change in viral suppression and develop personalised viral suppression prediction due to the impact of the COVID-19 pandemic using ML techniques, such as tree-based classifiers (classification and regression trees, random forest, decision tree and eXtreme Gradient Boosting), support vector machine, naïve Bayes and long short-term memory. Ethics and dissemination The institutional review board approved the study at the University of South Carolina (Pro00124806) as a Non-Human Subject study. Findings will be published in peer-reviewed journals and disseminated at national and international conferences and through social media." @default.
- W4376642009 created "2023-05-17" @default.
- W4376642009 creator A5000023752 @default.
- W4376642009 creator A5002967154 @default.
- W4376642009 creator A5012148356 @default.
- W4376642009 creator A5034071522 @default.
- W4376642009 creator A5069766543 @default.
- W4376642009 date "2023-05-01" @default.
- W4376642009 modified "2023-09-29" @default.
- W4376642009 title "Protocol for developing a personalised prediction model for viral suppression among under-represented populations in the context of the COVID-19 pandemic" @default.
- W4376642009 cites W1678356000 @default.
- W4376642009 cites W2132886902 @default.
- W4376642009 cites W2673193613 @default.
- W4376642009 cites W2911964244 @default.
- W4376642009 cites W2973113902 @default.
- W4376642009 cites W3018100255 @default.
- W4376642009 cites W3036822331 @default.
- W4376642009 cites W3038167169 @default.
- W4376642009 cites W3084332206 @default.
- W4376642009 cites W3112742658 @default.
- W4376642009 cites W3158773183 @default.
- W4376642009 cites W3165599689 @default.
- W4376642009 cites W3172898547 @default.
- W4376642009 cites W3202883071 @default.
- W4376642009 cites W4205170775 @default.
- W4376642009 cites W4213426836 @default.
- W4376642009 cites W4220949103 @default.
- W4376642009 cites W4225159037 @default.
- W4376642009 cites W4239510810 @default.
- W4376642009 cites W4321786397 @default.
- W4376642009 doi "https://doi.org/10.1136/bmjopen-2022-070869" @default.
- W4376642009 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37188476" @default.
- W4376642009 hasPublicationYear "2023" @default.
- W4376642009 type Work @default.
- W4376642009 citedByCount "0" @default.
- W4376642009 crossrefType "journal-article" @default.
- W4376642009 hasAuthorship W4376642009A5000023752 @default.
- W4376642009 hasAuthorship W4376642009A5002967154 @default.
- W4376642009 hasAuthorship W4376642009A5012148356 @default.
- W4376642009 hasAuthorship W4376642009A5034071522 @default.
- W4376642009 hasAuthorship W4376642009A5069766543 @default.
- W4376642009 hasBestOaLocation W43766420091 @default.
- W4376642009 hasConcept C137403100 @default.
- W4376642009 hasConcept C142724271 @default.
- W4376642009 hasConcept C144024400 @default.
- W4376642009 hasConcept C147077947 @default.
- W4376642009 hasConcept C149923435 @default.
- W4376642009 hasConcept C166957645 @default.
- W4376642009 hasConcept C19165224 @default.
- W4376642009 hasConcept C205649164 @default.
- W4376642009 hasConcept C2779134260 @default.
- W4376642009 hasConcept C2779343474 @default.
- W4376642009 hasConcept C2908647359 @default.
- W4376642009 hasConcept C3008058167 @default.
- W4376642009 hasConcept C524204448 @default.
- W4376642009 hasConcept C71924100 @default.
- W4376642009 hasConcept C74909509 @default.
- W4376642009 hasConcept C89623803 @default.
- W4376642009 hasConcept C99454951 @default.
- W4376642009 hasConceptScore W4376642009C137403100 @default.
- W4376642009 hasConceptScore W4376642009C142724271 @default.
- W4376642009 hasConceptScore W4376642009C144024400 @default.
- W4376642009 hasConceptScore W4376642009C147077947 @default.
- W4376642009 hasConceptScore W4376642009C149923435 @default.
- W4376642009 hasConceptScore W4376642009C166957645 @default.
- W4376642009 hasConceptScore W4376642009C19165224 @default.
- W4376642009 hasConceptScore W4376642009C205649164 @default.
- W4376642009 hasConceptScore W4376642009C2779134260 @default.
- W4376642009 hasConceptScore W4376642009C2779343474 @default.
- W4376642009 hasConceptScore W4376642009C2908647359 @default.
- W4376642009 hasConceptScore W4376642009C3008058167 @default.
- W4376642009 hasConceptScore W4376642009C524204448 @default.
- W4376642009 hasConceptScore W4376642009C71924100 @default.
- W4376642009 hasConceptScore W4376642009C74909509 @default.
- W4376642009 hasConceptScore W4376642009C89623803 @default.
- W4376642009 hasConceptScore W4376642009C99454951 @default.
- W4376642009 hasIssue "5" @default.
- W4376642009 hasLocation W43766420091 @default.
- W4376642009 hasLocation W43766420092 @default.
- W4376642009 hasOpenAccess W4376642009 @default.
- W4376642009 hasPrimaryLocation W43766420091 @default.
- W4376642009 hasRelatedWork W1489989870 @default.
- W4376642009 hasRelatedWork W2050137906 @default.
- W4376642009 hasRelatedWork W2074791308 @default.
- W4376642009 hasRelatedWork W2158636186 @default.
- W4376642009 hasRelatedWork W2190805439 @default.
- W4376642009 hasRelatedWork W2507144333 @default.
- W4376642009 hasRelatedWork W2735981366 @default.
- W4376642009 hasRelatedWork W2800658779 @default.
- W4376642009 hasRelatedWork W3130270021 @default.
- W4376642009 hasRelatedWork W4381942459 @default.
- W4376642009 hasVolume "13" @default.
- W4376642009 isParatext "false" @default.
- W4376642009 isRetracted "false" @default.
- W4376642009 workType "article" @default.