Name
Abstract | ||
|---|---|---|
This work introduces a novel method to assess the social activity maintained by psychiatric patients using information and communication technologies. In particular, we model the daily usage patterns of phone calls and social and communication apps using point processes. We propose a novel nonhomogeneous Poisson process model with periodic (circadian) intensity function using a truncated Fourier series expansion, which is inferred using a trust-region algorithm. We also extend the model using a mixture of periodic intensity functions to cope with the different daily patterns of a person. The analysis of the usage of phone calls and social and communication apps of a cohort of 259 patients reveals common patterns shared among patients with relatively high homogeneity and differences among patient pathologies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2019.2918687 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Fourier series,Informatics,Data models,Tools,Feature extraction,Circadian rhythm,Mixture models | Informatics,Data modeling,Computer science,Social activity,Point process,Phone,Psychiatry,Information and Communications Technology,Cohort,Mixture model | Journal |
Volume | Issue | ISSN |
23 | 6 | 2168-2208 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Bonilla-Escribano | 1 | 1 | 0.40 |
| David Ramírez | 2 | 206 | 20.05 |
| Alba Sedano-Capdevila | 3 | 1 | 0.73 |
| Juan-Jose Campana-Montes | 4 | 1 | 0.40 |
| Enrique Baca-Garcia | 5 | 12 | 4.80 |
| Philippe Courtet | 6 | 1 | 1.07 |
| Antonio Artés-Rodríguez | 7 | 206 | 34.76 |