FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306734577> ?p ?o ?g. }

• W4306734577 endingPage "1402" @default.
• W4306734577 startingPage "1392" @default.
• W4306734577 abstract "Interventions to teach protective behaviors may be differentially effective within an adolescent population. Identifying the characteristics of youth who are less likely to respond to an intervention can guide program modifications to improve its effectiveness. Using comprehensive longitudinal data on adolescent risk behaviors, perceptions, sensation-seeking, peer and family influence, and neighborhood risk factors from 2564 grade 10-12 students in The Bahamas, this study employs machine learning approaches (support vector machines, logistic regression, decision tree, and random forest) to identify important predictors of non-responsiveness for precision prevention. We used 80% of the data to train the models and the rest for model testing. Among different machine learning algorithms, the random forest model using longitudinal data and the Boruta feature selection approach predicted intervention non-responsiveness best, achieving sensitivity of 85.4%, specificity of 78.4% and AUROC of 0.93 on the training data, and sensitivity of 84.3%, specificity of 67.1%, and AUROC of 0.85 on the test data. Key predictors include self-efficacy, perceived response cost, parent monitoring, vulnerability, response efficacy, HIV/AIDS knowledge, communication about condom use, and severity of HIV/STI. Machine learning can yield powerful predictive models to identify adolescents who are unlikely to respond to an intervention. Such models can guide the development of alternative strategies that may be more effective with intervention non-responders." @default.
• W4306734577 created "2022-10-19" @default.
• W4306734577 creator A5004028096 @default.
• W4306734577 creator A5017208804 @default.
• W4306734577 creator A5047059244 @default.
• W4306734577 creator A5053328456 @default.
• W4306734577 creator A5066589212 @default.
• W4306734577 creator A5074292303 @default.
• W4306734577 creator A5074665648 @default.
• W4306734577 creator A5080416877 @default.
• W4306734577 creator A5080851878 @default.
• W4306734577 creator A5083771763 @default.
• W4306734577 creator A5084461414 @default.
• W4306734577 date "2022-10-18" @default.
• W4306734577 modified "2023-10-05" @default.
• W4306734577 title "Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning" @default.
• W4306734577 cites W1494249009 @default.
• W4306734577 cites W1965246659 @default.
• W4306734577 cites W1977591411 @default.
• W4306734577 cites W1995209992 @default.
• W4306734577 cites W1995898597 @default.
• W4306734577 cites W2003975395 @default.
• W4306734577 cites W2033108973 @default.
• W4306734577 cites W2036954961 @default.
• W4306734577 cites W2066224818 @default.
• W4306734577 cites W2081199485 @default.
• W4306734577 cites W2082290707 @default.
• W4306734577 cites W2087491868 @default.
• W4306734577 cites W2099007243 @default.
• W4306734577 cites W2102883561 @default.
• W4306734577 cites W2115044604 @default.
• W4306734577 cites W2119191234 @default.
• W4306734577 cites W2122632794 @default.
• W4306734577 cites W2135584693 @default.
• W4306734577 cites W2140451161 @default.
• W4306734577 cites W2147014417 @default.
• W4306734577 cites W2156665896 @default.
• W4306734577 cites W2211242807 @default.
• W4306734577 cites W2270968773 @default.
• W4306734577 cites W2481697607 @default.
• W4306734577 cites W2507665866 @default.
• W4306734577 cites W2560786727 @default.
• W4306734577 cites W2562525142 @default.
• W4306734577 cites W2808349803 @default.
• W4306734577 cites W2810295601 @default.
• W4306734577 cites W2889877784 @default.
• W4306734577 cites W2901187650 @default.
• W4306734577 cites W2942980171 @default.
• W4306734577 cites W2953497237 @default.
• W4306734577 cites W2955970210 @default.
• W4306734577 cites W2984856451 @default.
• W4306734577 cites W3005199618 @default.
• W4306734577 cites W3009996514 @default.
• W4306734577 cites W3078472951 @default.
• W4306734577 cites W3156712976 @default.
• W4306734577 cites W3167179910 @default.
• W4306734577 cites W4245832682 @default.
• W4306734577 doi "https://doi.org/10.1007/s10461-022-03874-4" @default.
• W4306734577 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36255592" @default.
• W4306734577 hasPublicationYear "2022" @default.
• W4306734577 type Work @default.
• W4306734577 citedByCount "0" @default.
• W4306734577 crossrefType "journal-article" @default.
• W4306734577 hasAuthorship W4306734577A5004028096 @default.
• W4306734577 hasAuthorship W4306734577A5017208804 @default.
• W4306734577 hasAuthorship W4306734577A5047059244 @default.
• W4306734577 hasAuthorship W4306734577A5053328456 @default.
• W4306734577 hasAuthorship W4306734577A5066589212 @default.
• W4306734577 hasAuthorship W4306734577A5074292303 @default.
• W4306734577 hasAuthorship W4306734577A5074665648 @default.
• W4306734577 hasAuthorship W4306734577A5080416877 @default.
• W4306734577 hasAuthorship W4306734577A5080851878 @default.
• W4306734577 hasAuthorship W4306734577A5083771763 @default.
• W4306734577 hasAuthorship W4306734577A5084461414 @default.
• W4306734577 hasBestOaLocation W43067345771 @default.
• W4306734577 hasConcept C118552586 @default.
• W4306734577 hasConcept C119857082 @default.
• W4306734577 hasConcept C138816342 @default.
• W4306734577 hasConcept C14262774 @default.
• W4306734577 hasConcept C148483581 @default.
• W4306734577 hasConcept C151956035 @default.
• W4306734577 hasConcept C154945302 @default.
• W4306734577 hasConcept C155164915 @default.
• W4306734577 hasConcept C15744967 @default.
• W4306734577 hasConcept C159110408 @default.
• W4306734577 hasConcept C169258074 @default.
• W4306734577 hasConcept C27415008 @default.
• W4306734577 hasConcept C2780665704 @default.
• W4306734577 hasConcept C2908647359 @default.
• W4306734577 hasConcept C41008148 @default.
• W4306734577 hasConcept C71924100 @default.
• W4306734577 hasConcept C77805123 @default.
• W4306734577 hasConcept C84525736 @default.
• W4306734577 hasConcept C99454951 @default.
• W4306734577 hasConceptScore W4306734577C118552586 @default.
• W4306734577 hasConceptScore W4306734577C119857082 @default.
• W4306734577 hasConceptScore W4306734577C138816342 @default.
• W4306734577 hasConceptScore W4306734577C14262774 @default.

• next