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JMIR Research Protocols
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November 29, 2022
Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study
Danielle Currey, John Torous
Journal of Medical Internet Research
|
February 9, 2023
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model
Danielle Currey, John Torous
Bjpsych Open
|
June 3, 2022
Digital phenotyping correlations in larger mental health samples: analysis and replication
Danielle Currey, John Torous
BMJ Mental Health
|
May 17, 2023
Increasing the value of digital phenotyping through reducing missingness: a retrospective review and analysis of prior studies
Danielle Currey, John Torous
The American Journal of Emergency Medicine
|
August 22, 2025
Corrigendum to "External validation of a widely available, localizable sepsis early detection model in the emergency department setting" [Am J Emerg Med (2025) 97:147-151]
Danielle Currey, Yasir Tarabichi
The American Journal of Emergency Medicine
|
July 29, 2025
External validation of a widely available, localizable sepsis early detection model in the emergency department setting
Danielle Currey, Yasir Tarabichi
Journal of Technology in Behavioral Science
|
June 26, 2023
Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts
Danielle Currey, Ryan Hays, John Torous
Magnetic Resonance in Medicine
|
October 27, 2020
Deep learning reconstruction for cardiac magnetic resonance fingerprinting T<sub>1</sub> and T<sub>2</sub> mapping
Jesse I Hamilton, Danielle Currey, Sanjay Rajagopalan, et al.
Health Informatics Journal
|
December 19, 2023
The impact of guided versus supportive coaching on mental health app engagement and clinical outcomes
Erica Camacho, Sarah M Chang, Danielle Currey, et al.
Plos One
|
February 27, 2023
EPViz: A flexible and lightweight visualizer to facilitate predictive modeling for multi-channel EEG
Danielle Currey, Jeff Craley, David Hsu, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
JMIR Research Protocols
|
November 29, 2022
Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study
Danielle Currey, John Torous
Journal of Medical Internet Research
|
February 9, 2023
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model
Danielle Currey, John Torous
Bjpsych Open
|
June 3, 2022
Digital phenotyping correlations in larger mental health samples: analysis and replication
Danielle Currey, John Torous
BMJ Mental Health
|
May 17, 2023
Increasing the value of digital phenotyping through reducing missingness: a retrospective review and analysis of prior studies
Danielle Currey, John Torous
The American Journal of Emergency Medicine
|
August 22, 2025
Corrigendum to "External validation of a widely available, localizable sepsis early detection model in the emergency department setting" [Am J Emerg Med (2025) 97:147-151]
Danielle Currey, Yasir Tarabichi
The American Journal of Emergency Medicine
|
July 29, 2025
External validation of a widely available, localizable sepsis early detection model in the emergency department setting
Danielle Currey, Yasir Tarabichi
Journal of Technology in Behavioral Science
|
June 26, 2023
Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts
Danielle Currey, Ryan Hays, John Torous
Magnetic Resonance in Medicine
|
October 27, 2020
Deep learning reconstruction for cardiac magnetic resonance fingerprinting T<sub>1</sub> and T<sub>2</sub> mapping
Jesse I Hamilton, Danielle Currey, Sanjay Rajagopalan, et al.
Health Informatics Journal
|
December 19, 2023
The impact of guided versus supportive coaching on mental health app engagement and clinical outcomes
Erica Camacho, Sarah M Chang, Danielle Currey, et al.
Plos One
|
February 27, 2023
EPViz: A flexible and lightweight visualizer to facilitate predictive modeling for multi-channel EEG
Danielle Currey, Jeff Craley, David Hsu, et al.
Page
of 2