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

Formative Evaluation of Digital Health Interventions (2206) Clinical Information and Decision Making (1328) Breast Cancer (200) Natural Language Processing (643)

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 Tweetations (5) Metrics

Vasiliki Baroutsou   1 , MSc ;   Rodrigo Cerqueira Gonzalez Pena   2 , PhD ;   Reka Schweighoffer   1 , PhD ;   Maria Caiata-Zufferey   3 , PhD ;   Sue Kim   4 , PhD ;   Sharlene Hesse-Biber   5 , PhD ;   Florina M Ciorba   6 , PhD ;   Gerhard Lauer   7 , PhD ;   Maria Katapodi   1 , PhD ;   CASCADE Consortium   8

1 Department of Clinical Research, University of Basel, Basel, Switzerland

2 Center for Data Analytics, University of Basel, Basel, Switzerland

3 Competence Centre for Healthcare Practices and Policies, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland

4 College of Nursing, Yonsei University, Seoul, Republic of Korea

5 Department of Sociology, Boston College, Chestnut Hill, MA, United States

6 Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland

7 Gutenberg-Institut für Weltliteratur und schriftorientierte Medien, Abteilung Buchwissenschaft Johannes Gutenberg, Universität Mainz Philosophicum, Mainz, Germany

8 see Acknowledgments, Basel, Switzerland

Corresponding Author: