Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS is a scholarly article[1].

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  • Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-outperformed-logistic-regression-classification-even-with-limit-sample-size-a-model-to-predict-pediatri
MLA “Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-outperformed-logistic-regression-classification-even-with-limit-sample-size-a-model-to-predict-pediatri.
BibTeX @misc{4ortxyz_machine-learning-outperformed-logistic-regression-classification-even-with-limit-sample-size-a-model-to-predict-pediatri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-outperformed-logistic-regression-classification-even-with-limit-sample-size-a-model-to-predict-pediatri}, note = {Accessed: 2026-05-24}}
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