This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Clinical Information and Decision Making (1407) Breast Cancer (206) Natural Language Processing (692)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38399, first published .
Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis

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

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

Authors of this article:

Vasiliki Baroutsou1 Author Orcid Image ;   Rodrigo Cerqueira Gonzalez Pena2 Author Orcid Image ;   Reka Schweighoffer1 Author Orcid Image ;   Maria Caiata-Zufferey3 Author Orcid Image ;   Sue Kim4 Author Orcid Image ;   Sharlene Hesse-Biber5 Author Orcid Image ;   Florina M Ciorba6 Author Orcid Image ;   Gerhard Lauer7 Author Orcid Image ;   Maria Katapodi1 Author Orcid Image ;   CASCADE Consortium8
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Holmes A, Sachar A, Chang Y. Perceived Impact of COVID‐19 in an Underserved Community: A Natural Language Processing Approach. Journal of Advanced Nursing 2024 View