| Autor: |
Usman, S., Hanidu, A., Kahrs, B.H., Hassan, W., Wilhelm‐Benartzi, C., Salvesen, K., Eggebo, T.M., Lees, C. |
| Předmět: |
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| Zdroj: |
Ultrasound in Obstetrics & Gynecology; Oct2021 Supplement S1, Vol. 58, p287-288, 2p |
| Abstrakt: |
In population 1, maternal BMI, maternal age, HPD, gestational age and birthweight were the strongest contributors to the first principal component which accounted for 19% of data variation. Principle Component Analysis (PCA) was used in patients without missing data(n = 391) to establish which characteristics were the main contributors to the first principal component which accounts for the largest possible variance in the data for the combined datasets. To compare the predictive value of labour parameters for mode of delivery in two geographically and demographically different populations. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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