WebApr 14, 2024 · FRIDAY, April 14, 2024 (HealthDay News) -- Machine learning models can effectively predict risk for a sleep disorder using demographic, laboratory, physical exam, and lifestyle covariates, according to a study published online April 12 in PLOS ONE.. Alexander A. Huang, from the Northwestern University Feinberg School of Medicine in … WebApr 12, 2024 · The risk factors for aortic dissection have been less understood, but hypertension and certain connective tissue diseases are thought to be the most common risk factors. 1, 18 To the best of our knowledge, the current study is the first to elucidate a variety of risk or protective factors against aortic diseases, including separate analyses …
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WebUterine tachysystole is defined as more than five contractions in any 10-minute period, averaged over 30 minutes. 2 Each normal uterine contraction causes a temporary … Webin favor of the more rigidly defined term, “tachysystole” (TS). The aim of the current study is to describe incidence of and risk factors for TS, describe fetal heart rate (FHR) changes … embedded c programs for practice
Machine Learning IDs Factors Predicting Risk for Sleep Disorder ...
WebFeb 25, 2024 · Abstract. Uterine tachysystole (TS) is a potentially significant intrapartum complication seen most commonly in induced or augmented labors but may also occur in … WebSep 12, 2024 · Therefore, in a study of UA and neonatal outcomes, it is not usually appropriate to control for these factors since, ... Eller AG, Holmgren CM, Manuck TA, et al. Tachysystole in term labor: incidence, risk factors, outcomes, and effect on fetal heart tracings. Am J Obstet Gynecol. 2013;209(1):32 e1–6. PubMed Google Scholar WebJul 1, 2013 · Tachysystole in term labor: incidence, risk factors, outcomes, and effect on fetal heart tracings Presented in poster format at the 32nd annual meeting of the Society for Maternal-Fetal Medicine, Dallas, TX, Feb. 6-11, 2012, and the 59th annual scientific meeting of the Society for Gynecologic Investigation, San Diego, CA, March 21-24, 2012. embedded c programs