Publications by authors named "S Boulet"
Background: Preventive interventions are needed to provide targeted health support to adolescents to improve health behaviors. Engaging adolescents in preventive interventions remains a challenge, highlighting the need for innovative recruitment strategies. Given adolescents' lives are intertwined with digital technologies, attention should be focused on these avenues for recruitment.
View Article and Find Full Text PDFHypertensive 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.
View Article and Find Full Text PDFArticle Synopsis
- - This paper presents a new method for accurately transferring blood pressure (BP) data from oscillometric devices into medical records, focusing on accessibility for low literacy populations, particularly during pregnancy and postpartum.
- - An automated image transcription technique was developed to capture and analyze BP readings from photos taken in mobile health (mHealth) monitoring programs in Guatemala and Georgia, involving midwives and postpartum women.
- - A deep learning model was created to enhance digit recognition from BP devices, utilizing advanced techniques like the YOLO object detection and convolutional neural networks; training experiments showed that models using transfer learning performed better than those that did not.
Types and timing of trauma exposure across the life course and maternal hypertension.
Paediatr Perinat Epidemiol
September 2024
Background: Exposure to trauma across the life course may be associated with cardio-metabolic dysfunction during pregnancy; however, previous research has been inconsistent, particularly in highly exposed populations.
Objectives: To estimate associations between types and timing (first occurrence) of trauma exposure and hypertension experienced during pregnancy in a safety-net hospital in Atlanta, Georgia, 2011-2022.
Methods: Participants completed a 14-item trauma screener.
Objectives: To determine how pre-existing conditions contribute to racial disparities in adverse maternal outcomes and incorporate these conditions into models to improve risk prediction for racial minority subgroups.
Study Design: We used data from the "Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b)" observational cohort study. We defined multimorbidity as the co-occurrence of two or more pre-pregnancy conditions.