Search

Background: The electronic medical record contains a wealth of information buried in free text. We created a natural language processing algorithm to identify patients with atrial fibrillation (AF) using text alone.Methods and Results: We created 3 data sets from patients with at least one AF billing code from 2010 to 2017: a training set (n=886), an internal validation set from site no. 1 (n=285), and an external validation set from site no. 2 (n=276). A team of clinicians reviewed and adjudicated patients as AF present or absent, which served as the reference standard. We trained 54 algorithms to classify each patient, varying the model, number of features, number of stop words, and the method used to create the feature set. The algorithm with the highest F-score (the harmonic mean of sensitivity and positive predictive value) in the training set was applied to the validation sets. F-scores and area under the receiver operating characteristic curves were compared between site no. 1 and site no. 2 using bootstrapping. Adjudicated AF prevalence was 75.1% at site no. 1 and 86.2% at site no. 2. Among 54 algorithms, the best performing model was logistic regression, using 1000 features, 100 stop words, and term frequency-inverse document frequency method to create the feature set, with sensitivity 92.8%, specificity 93.9%, and an area under the receiver operating characteristic curve of 0.93 in the training set. The performance at site no. 1 was sensitivity 92.5%, specificity 88.7%, with an area under the receiver operating characteristic curve of 0.91. The performance at site no. 2 was sensitivity 89.5%, specificity 71.1%, with an area under the receiver operating characteristic curve of 0.80. The F-score was lower at site no. 2 compared with site no. 1 (92.5% [SD, 1.1%] versus 94.2% [SD, 1.1%]; P<0.001).Conclusions: We developed a natural language processing algorithm to identify patients with AF using text alone, with >90% F-score at 2 separate sites. This approach allows better use of the clinical narrative and creates an opportunity for precise, high-throughput cohort identification. [ABSTRACT FROM AUTHOR]

Six percent of cisgender (i.e. not transgender) women aged 15-44 are considered infertile in the United States, and 12% are unable to carry a pregnancy to term. For those who yearn to create a family despite these circumstances, assisted reproductive technology (ART) is an often-utilised resource. Though faith-based institutions have been referenced as a source of support for involuntarily childless adults, it is unclear how religious doctrine, especially that which prizes 'traditional' gender roles and genetic parenthood, may be a catalyst for distress. More research is needed to understand how the socio-cultural environment affects those who are unable to conceive without assistance. Therefore, the purpose of this research study was to understand the lived experiences of women who have utilised assisted reproduction in a particularly pronatalist, religious cultural context in the United States. From March to September 2017, in-depth interviews were conducted with 10 cisgender women who had utilised ART. Data analysis was conducted in NVivo 10 and consisted of line-by-line analysis, identifying themes, coding categories and developing matrices to uncover relationships between themes and categories. The quest for motherhood was truly a journey for the study participants who experienced rumination and self-blame due to their inability to become pregnant. This was rooted in their socio-cultural context. Thus, the study findings suggest that culture and stigma are linked with women's distress regarding their inability to become pregnant and results in distancing from other women. Genetic parenthood was prized initially, but this desire decreased over time. While past research suggests that infertility strains relationships, our study found that the turmoil of infertility and assisted reproduction actually strengthened couple relationships. Counselling was described as particularly helpful, but it is needed throughout the assisted reproduction process. The inclusion of religion and spirituality, for those who identify as such, in counselling would be beneficial., (© 2021 John Wiley & Sons Ltd.)