萧条(经济学)
心情
怀孕
特征(语言学)
心理学
临床心理学
医学
精神科
语言学
遗传学
生物
哲学
宏观经济学
经济
作者
Tamar Krishnamurti,Kristen Allen,Laila Hayani,Samantha N. Rodriguez,Scott D. Rothenberger,Eydie L. Moses‐Kolko,Hyagriv N. Simhan
出处
期刊:Research Square - Research Square
日期:2023-02-21
标识
DOI:10.21203/rs.3.rs-2583296/v1
摘要
Abstract Depression is highly prevalent in pregnancy, yet it often goes undiagnosed and untreated. Language can be an indicator of psychological well-being. This longitudinal, observational cohort study of 1,274 pregnancies examined written language shared in a prenatal smartphone app. Natural language feature of text entered in the app (e.g. in a journaling feature) throughout the course of participants’ pregnancies were used to model subsequent depression symptoms. Language features were predictive of incident depression symptoms in a 30-day window (AUROC = 0.72) and offer insights into topics most salient in the writing of individuals experiencing those symptoms. When natural language inputs were combined with self-reported current mood, a stronger predictive model was produced (AUROC = 0.84). Pregnancy apps are a promising way to illuminate experiences contributing to depression symptoms. Even sparse language and simple patient-reports collected directly from these tools may support earlier, more nuanced depression symptom identification.
科研通智能强力驱动
Strongly Powered by AbleSci AI