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Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis
Research article (Scientific Reports, 2022) · cited 13× · AI/ML
Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis
Summary
Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis is a scholarly article[1].
Key Facts
Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/discriminant-analysis-and-binary-logistic-regression-enable-more-accurate-prediction-of-autism-spectrum-disorder-than-pr
MLA“Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discriminant-analysis-and-binary-logistic-regression-enable-more-accurate-prediction-of-autism-spectrum-disorder-than-pr.
BibTeX@misc{4ortxyz_discriminant-analysis-and-binary-logistic-regression-enable-more-accurate-prediction-of-autism-spectrum-disorder-than-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis}}, year = {2026}, url = {https://4ort.xyz/entity/discriminant-analysis-and-binary-logistic-regression-enable-more-accurate-prediction-of-autism-spectrum-disorder-than-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis — https://4ort.xyz/entity/discriminant-analysis-and-binary-logistic-regression-enable-more-accurate-prediction-of-autism-spectrum-disorder-than-pr (retrieved 2026-05-24)
