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Denzil Ferreira

Showing results (1-10 of 9) with videos related to

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JMIR Mhealth and Uhealth|January 28, 2021
Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable SensorsNooshin Bahador, Denzil Ferreira, Satu Tamminen, et al.
Personal and Ubiquitous Computing|November 21, 2022
"Leave your smartphone out of bed": quantitative analysis of smartphone use effect on sleep qualitySaba Kheirinejad, Aku Visuri, Denzil Ferreira, et al.
Addictive Behaviors|December 9, 2017
Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventionsSangwon Bae, Tammy Chung, Denzil Ferreira, et al.
JMIR Mhealth and Uhealth|July 13, 2021
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory StudyKennedy Opoku Asare, Yannik Terhorst, Julio Vega, et al.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies|February 11, 2022
Detecting Drinking Episodes in Young Adults Using Smartphone-based SensorsSangwon Bae, Denzil Ferreira, Brian Suffoletto, et al.
Journal of Medical Internet Research|December 21, 2017
Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory StudyCarissa A Low, Anind K Dey, Denzil Ferreira, et al.
JMIR Mhealth and Uhealth|November 26, 2020
Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication EffectivenessElina Kuosmanen, Florian Wolling, Julio Vega, et al.
Frontiers in Psychiatry|February 15, 2021
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable DataIsaac Moshe, Yannik Terhorst, Kennedy Opoku Asare, et al.
JMIR Cancer|April 27, 2021
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal StudyCarissa A Low, Meng Li, Julio Vega, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
JMIR Mhealth and Uhealth|January 28, 2021
Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable SensorsNooshin Bahador, Denzil Ferreira, Satu Tamminen, et al.
Personal and Ubiquitous Computing|November 21, 2022
"Leave your smartphone out of bed": quantitative analysis of smartphone use effect on sleep qualitySaba Kheirinejad, Aku Visuri, Denzil Ferreira, et al.
Addictive Behaviors|December 9, 2017
Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventionsSangwon Bae, Tammy Chung, Denzil Ferreira, et al.
JMIR Mhealth and Uhealth|July 13, 2021
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory StudyKennedy Opoku Asare, Yannik Terhorst, Julio Vega, et al.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies|February 11, 2022
Detecting Drinking Episodes in Young Adults Using Smartphone-based SensorsSangwon Bae, Denzil Ferreira, Brian Suffoletto, et al.
Journal of Medical Internet Research|December 21, 2017
Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory StudyCarissa A Low, Anind K Dey, Denzil Ferreira, et al.
JMIR Mhealth and Uhealth|November 26, 2020
Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication EffectivenessElina Kuosmanen, Florian Wolling, Julio Vega, et al.
Frontiers in Psychiatry|February 15, 2021
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable DataIsaac Moshe, Yannik Terhorst, Kennedy Opoku Asare, et al.
JMIR Cancer|April 27, 2021
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal StudyCarissa A Low, Meng Li, Julio Vega, et al.
Pageof 1