Detalhe da pesquisa
1.
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.
J Med Internet Res
; 25: e45233, 2023 08 14.
Artigo
Inglês
| MEDLINE | ID: mdl-37578823
2.
Home monitoring to detect progression of interstitial lung disease: A prospective cohort study.
Respirology
; 29(6): 513-517, 2024 Jun.
Artigo
Inglês
| MEDLINE | ID: mdl-38589216
3.
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
J Affect Disord
; 355: 40-49, 2024 Jun 15.
Artigo
Inglês
| MEDLINE | ID: mdl-38552911
4.
Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study.
J Atten Disord
; 27(9): 1040-1050, 2023 07.
Artigo
Inglês
| MEDLINE | ID: mdl-37269091
5.
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions.
Comput Methods Programs Biomed
; 227: 107204, 2022 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-36371974
6.
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.
JMIR Mhealth Uhealth
; 10(10): e40667, 2022 10 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36194451
7.
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study.
JMIR Ment Health
; 9(3): e34898, 2022 Mar 11.
Artigo
Inglês
| MEDLINE | ID: mdl-35275087
8.
Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study).
JMIR Res Protoc
; 10(12): e32587, 2021 Dec 08.
Artigo
Inglês
| MEDLINE | ID: mdl-34784292