Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study

Smartphone technology provides us with a more convenient and less intrusive method of detecting changes in behavior and symptoms that typically precede schizophrenia relapse. To take advantage of the aforementioned, this study examines the feasibility of predicting schizophrenia relapse by identifyi...

Descripción completa

Detalles Bibliográficos
Autores principales: Cohen, Asher, Naslund, John A., Chang, Sarah, Nagendra, Srilakshmi, Bhan, Anant, Rozatkar, Abhijit, Thirthalli, Jagadisha, Bondre, Ameya, Tugnawat, Deepak, Reddy, Preethi V., Dutt, Siddharth, Choudhary, Soumya, Chand, Prabhat Kumar, Patel, Vikram, Keshavan, Matcheri, Joshi, Devayani, Mehta, Urvakhsh Meherwan, Torous, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880926/
https://www.ncbi.nlm.nih.gov/pubmed/36707524
http://dx.doi.org/10.1038/s41537-023-00332-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880926/
https://www.ncbi.nlm.nih.gov/pubmed/36707524
http://dx.doi.org/10.1038/s41537-023-00332-5

Ejemplares similares