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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches
Published 2025-07-01“…The descriptive analysis revealed that women with low income and education levels, and the elderly have a higher chance of accessing healthcare services compared to male and non-binary gender, while the predictive analysis revealed that, using machine learning models, it is possible to predict an individual’s accessibility to healthcare services with up to 81 % accuracy. …”
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Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis
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Predictive value of inflammatory indexes in in-hospital mortality for patients with acute aortic dissection
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Parental Involvement as a Important Factor for Successful Education
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Predictive accuracy of ophthalmic artery Doppler for pre-eclampsia: a systematic review
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Lawyer Dissatisfaction, Emotional Intelligence and Clinical Legal Education
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