Early Prediction of Hypertensive Disorders of Pregnancy Using Machine Learning and Medical Records from the First and Second Trimesters.

Hypertensive disorders of pregnancy (HDPs) remain a major challenge in maternal health. Early prediction of HDPs is crucial for timely intervention. Most existing predictive machine learning (ML) models rely on costly methods like blood, urine, genetic tests, and ultrasound, often extracting features from data gathered throughout pregnancy, delaying intervention.

Caregiver Insights and Improvement Strategies for Youth with Autism Undergoing Gastrointestinal Endoscopy.

Limited guidance is available for families of youth with ASD (YASD) to prepare for invasive medical procedures. This study examined caregiver perspectives regarding YASD's gastrointestinal endoscopy (GE) experience to improve the endoscopy experience for YASD. Thirty-four caregivers of YASD, (M = 9.

Fall TIPS: strategies to promote adoption and use of a fall prevention toolkit.

Patient falls are serious problems in hospitals. Risk factors for falls are well understood and nurses routinely assess for fall risk on all hospitalized patients. However, the link from nursing assessment of fall risk, to identification and communication of tailored interventions to prevent falls is yet to be established.