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Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis.

Vasiliki BaroutsouRodrigo Cerqueira Gonzalez PenaReka SchweighofferMaria Caiata ZuffereySue KimSharlene Hesse-BiberFlorina M CiorbaGerhard LauerMaria C Katapodinull null
Published in: JMIR formative research (2023)
Our study showed that NLP can facilitate assessment of openness of communication in individuals carrying a pathogenic variant associated with HBOC. Findings provided promising evidence that various features from narratives such as sentiment and fear are important predictors of interpersonal communication and self-disclosure in this context. Our approach is promising and can be expanded in the field of personalized medicine and technology-mediated communication.
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