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Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data

Title data

Nissen, Michael ; Barrios Campo, Nuria ; Flaucher, Madeleine ; Jaeger, Katharina M. ; Titzmann, Adriana ; Blunck, Dominik ; Fasching, Peter A. ; Engelhardt, Victoria ; Eskofier, Björn M. ; Leutheuser, Heike:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data.
In: npj Digital Medicine. Vol. 6 (2023) Issue 1 . - 189.
ISSN 2398-6352
DOI: https://doi.org/10.1038/s41746-023-00935-3

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems > Chair Ambient Assisted Living and Medical Assistance Systems - Univ.-Prof. Dr. Heike Leutheuser
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works
600 Technology, medicine, applied sciences
Date Deposited: 01 Oct 2024 12:51
Last Modified: 11 Nov 2024 08:38
URI: https://eref.uni-bayreuth.de/id/eprint/90512