Digital Phenotyping for Prediction of Disease Trajectories in Brain Tumor Patients: Prospective Study (P10-6.013)
We evaluated disease trajectories of brain tumor patients using passively generalized data streams from smartphone sensors (as in digital phenotyping).
Authors
- R. Bunevičius (ORCID: https://orcid.org/0009-0004-9541-1554)
- D. Sendiuliene
- Jonas Venius (ORCID: https://orcid.org/0000-0002-9294-3190)
- Juras Kišonas (ORCID: https://orcid.org/0000-0001-7899-6942)
- Tomas Krilavičius (ORCID: https://orcid.org/0000-0001-8509-420X)
- Rita Steponavičienė
- Gabriele Kasputyte
- Gabrielė Jenciūtė (ORCID: https://orcid.org/0000-0001-7960-5405)
- Adomas Bunevicius
- Vita Zeromskiene
Institutions
- Vytautas Magnus University (LT)
- Columbia University (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211349
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00