Published on in Vol 8, No 1 (2021): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24333, first published
.
![Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study](https://asset.jmir.pub/assets/62e1be0788c4ee9be7f8384b3e1a953f.png 480w,https://asset.jmir.pub/assets/62e1be0788c4ee9be7f8384b3e1a953f.png 960w,https://asset.jmir.pub/assets/62e1be0788c4ee9be7f8384b3e1a953f.png 1920w,https://asset.jmir.pub/assets/62e1be0788c4ee9be7f8384b3e1a953f.png 2500w)
Journals
- Winter N, Leenings R, Ernsting J, Sarink K, Fisch L, Emden D, Blanke J, Goltermann J, Opel N, Barkhau C, Meinert S, Dohm K, Repple J, Mauritz M, Gruber M, Leehr E, Grotegerd D, Redlich R, Jansen A, Nenadic I, Nöthen M, Forstner A, Rietschel M, Groß J, Bauer J, Heindel W, Andlauer T, Eickhoff S, Kircher T, Dannlowski U, Hahn T. Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities. JAMA Psychiatry 2022;79(9):879 View
- Abbas A, Hansen B, Koesmahargyo V, Yadav V, Rosenfield P, Patil O, Dockendorf M, Moyer M, Shipley L, Perez-Rodriguez M, Galatzer-Levy I. Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study. JMIR Formative Research 2022;6(1):e26276 View
- Choudhary S, Thomas N, Ellenberger J, Srinivasan G, Cohen R. A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study. JMIR Formative Research 2022;6(5):e37736 View
- Suh H, Moon E, Park J, Lee B, Lee Y, Jeong H, Kim K, Park J, Lim H. A Validation Study of Mental Health Monitoring Through a Mobile Application. Psychiatry Investigation 2023;20(6):575 View
- Zhuparris A, Maleki G, van Londen L, Koopmans I, Aalten V, Yocarini I, Exadaktylos V, van Hemert A, Cohen A, Gal P, Doll R, Groeneveld G, Jacobs G, Kraaij W. A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity. Scientific Reports 2023;13(1) View
- Winter N, Blanke J, Leenings R, Ernsting J, Fisch L, Sarink K, Barkhau C, Emden D, Thiel K, Flinkenflügel K, Winter A, Goltermann J, Meinert S, Dohm K, Repple J, Gruber M, Leehr E, Opel N, Grotegerd D, Redlich R, Nitsch R, Bauer J, Heindel W, Gross J, Risse B, Andlauer T, Forstner A, Nöthen M, Rietschel M, Hofmann S, Pfarr J, Teutenberg L, Usemann P, Thomas-Odenthal F, Wroblewski A, Brosch K, Stein F, Jansen A, Jamalabadi H, Alexander N, Straube B, Nenadić I, Kircher T, Dannlowski U, Hahn T. A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder. JAMA Psychiatry 2024;81(4):386 View