Danielle Currey

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Machine Learning

Top Venues

Journal of medical Internet research

JMIR research protocols

JMIR formative research

This page only lists publications with an associated author ORCID identifier.

Publications

James Burns, Kelly Chen, Matthew Flathers, Danielle Currey, Natalia Macrynikola, Aditya Nrusimha Vaidyam, Carsten Langholm, Ian J Barnett, Andrew Jin Soo Byun, Erlend Lane, John B Torous
Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial. Journal of medical Internet research 26 (2024)
James Burns, Kelly Chen, Matthew Flathers, Danielle Currey, Natalia Macrynikola, Aditya Nrusimha Vaidyam, Carsten Langholm, Ian J Barnett, Andrew Jin Soo Byun, Erlend Lane, John B Torous
Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial. Journal of medical Internet research 26 (2024)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Radhika Suneel Kelkar, Danielle Currey, Srilakshmi Nagendra, Urvakhsh Meherwan Mehta, Vanteemar S Sreeraj, John B Torous, Jagadisha Tirthalli
Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study. JMIR formative research 7 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of medical Internet research 25 (2023)
Danielle Currey, John B Torous
Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study. JMIR research protocols 11 (11) (2022)