Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study.

JMIR Form Res · 2022 · PMC8965679 · PMID 35289757

Europe PMC DOI

hedged sentence

0.0010

closest p · 0.0× alpha

0.0010

boldest claim

The sentences

highly significantP <.001actually significant

Highly significant differences with P <.001 in variables were found in BMI, hip circumference, waist circumference, and body weight among the anthropomorphic variables, all symptom variables, AMH, number of antral follicles in the left ovary and number of antral follicles in the right ovary among the test result variables, and age and fast food consumption among the given variables.

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