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Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records.

• Authors : Zad, Zahra; Jiang, Victoria S.; Wolf, Amber T.

Subjects: MACHINE learning; INDUCED ovulation; POLYCYSTIC ovary syndromeBOSTON Medical Center

• Source: Frontiers in Endocrinology; 2024, p1-14, 14p

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Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population.

• Authors : Hao, Boran; Hu, Yang; Sotudian, Shahabeddin

• Source: Journal of the American Medical Informatics Association; Jul2022, Vol. 29 Issue 7, p1253-1262, 10p, 4 Charts

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Predictive models of pregnancy based on data from a preconception cohort study.

• Authors : Yland, Jennifer J; Wang, Taiyao; Zad, Zahra

Subjects: PREDICTION models; PREGNANCY; RECEIVER operating characteristic curvesCANADA

• Source: Human Reproduction; Mar2022, Vol. 37 Issue 3, p565-576, 12p

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Intermittent hypoxia in utero damages postnatal growth and cardiovascular function in rats.

• Authors : Ling Chen; Zad, Zahra Heidari; Jin Zhang

Subjects: HYPOXEMIA; PREGNANCY; CARDIOVASCULAR diseases

• Source: Journal of Applied Physiology; Apr2018, Vol. 124 Issue 4, p821-830, 10p

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