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1.
"Leave your smartphone out of bed": quantitative analysis of smartphone use effect on sleep quality.
Pers Ubiquitous Comput
; 27(2): 447-466, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36405389
2.
Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study.
J Med Internet Res
; 19(12): e420, 2017 12 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-29258977
3.
Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors.
JMIR Mhealth Uhealth
; 9(1): e21926, 2021 01 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-33507156
4.
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study.
JMIR Mhealth Uhealth
; 9(7): e26540, 2021 07 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34255713
5.
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data.
Front Psychiatry
; 12: 625247, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33584388
6.
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study.
JMIR Cancer
; 7(2): e27975, 2021 Apr 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-33904822
7.
Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness.
JMIR Mhealth Uhealth
; 8(11): e21543, 2020 11 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-33242017
8.
Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.
Addict Behav
; 83: 42-47, 2018 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-29217132
9.
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors.
Proc ACM Interact Mob Wearable Ubiquitous Technol
; 1(2)2017 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35146236
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