Published on in Vol 8, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27589, first published .
Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling

Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling

Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling

Journals

  1. Li S, Halabi R, Selvarajan R, Woerner M, Fillipo I, Banerjee S, Mosser B, Jain F, Areán P, Pratap A. Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study. JMIR Formative Research 2022;6(11):e40765 View
  2. Xu X, Liu X, Zhang H, Wang W, Nepal S, Sefidgar Y, Seo W, Kuehn K, Huckins J, Morris M, Nurius P, Riskin E, Patel S, Althoff T, Campbell A, Dey A, Mankoff J. GLOBEM. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(4):1 View
  3. Schweiger A, Rodebaugh T, Lenze E, Keenoy K, Hassenstab J, Kloeckner J, Gettinger T, Nicol G. Mindfulness Training for Depressed Older Adults Using Smartphone Technology: Protocol for a Fully Remote Precision Clinical Trial. JMIR Research Protocols 2022;11(10):e39233 View
  4. Dikaios K, Rempel S, Dumpala S, Oore S, Kiefte M, Uher R. Applications of Speech Analysis in Psychiatry. Harvard Review of Psychiatry 2023;31(1):1 View
  5. Hendricks-Sturrup R, Lu C. A survey of United States adult privacy perspectives and willingness to share real-world data. Journal of Clinical and Translational Science 2023;7(1) View
  6. Currey D, Torous J. 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 2023;25:e39258 View
  7. Yang X, Knights J, Bangieva V, Kambhampati V. Association Between the Severity of Depressive Symptoms and Human-Smartphone Interactions: Longitudinal Study. JMIR Formative Research 2023;7:e42935 View
  8. Maatoug R, Oudin A, Adrien V, Saudreau B, Bonnot O, Millet B, Ferreri F, Mouchabac S, Bourla A. Digital phenotype of mood disorders: A conceptual and critical review. Frontiers in Psychiatry 2022;13 View
  9. Bennett C, Ross M, Baek E, Kim D, Leow A. Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory. npj Digital Medicine 2022;5(1) View
  10. D’Mello R, Melcher J, Torous J. Similarity matrix-based anomaly detection for clinical intervention. Scientific Reports 2022;12(1) View
  11. Currey D, Torous J. Digital phenotyping correlations in larger mental health samples: analysis and replication. BJPsych Open 2022;8(4) View
  12. Griffith Fillipo I, Pullmann M, Hull T, Zech J, Wu J, Litvin B, Chen S, Arean P. Participant retention in a fully remote trial of digital psychotherapy: Comparison of incentive types. Frontiers in Digital Health 2022;4 View
  13. Cohen A, Naslund J, Chang S, Nagendra S, Bhan A, Rozatkar A, Thirthalli J, Bondre A, Tugnawat D, Reddy P, Dutt S, Choudhary S, Chand P, Patel V, Keshavan M, Joshi D, Mehta U, Torous J. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia 2023;9(1) View
  14. Ahmed M, Ahmed N. A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach. JMIR Formative Research 2023;7:e28848 View
  15. Wang W, Xu W, Chander A, Nepal S, Buck B, Pakhomov S, Cohen T, Ben-Zeev D, Campbell A. The Power of Speech in the Wild. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  16. Sieberts S, Burn A, Carey E, Carlson S, Fernandes B, Kalha J, Lindani S, Marten C, Neelakantan L, Ranganathan S, Sams N, Scanlan E, Shah H, Sumant S, Suver C, Tummalacherla M, Velloza J, Areán P, Collins P, Fazel M, Ford T, Freeman M, Pathare S, Zingela Z, Doerr M. Targeted recruitment and the role of choice in the engagement of youth in a randomised smartphone-based mental health study in India, South Africa, and the UK: results from the MindKind Study. Wellcome Open Research 2023;8:334 View
  17. Lenze E, Torous J, Arean P. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments. Neuropsychopharmacology 2024;49(1):205 View
  18. Tseng V, Tharp J, Reiter J, Ferrer W, Hong D, Doraiswamy P, Nickels S, Schilsky R, Allen J, Anderson M, Anstrom K, Araujo L, Arges K, Ardalan K, Baldwin B, Balu S, Bashir M, Bhapkar M, Bigelow R, Black T, Blanco R, Bloomfield G, Borkar D, Bouk L, Boulware E, Brugnoni N, Campbell E, Campbell P, Carin L, Cassella T, Cates T, Montgomery R, Christian V, Choong J, Cohen-Wolkowiez M, Cook E, Cousins S, Crawford A, Datta N, Daubert M, Davis J, Dirkes J, Doan I, Dockery M, Douglas P, Duckworth S, Dunham A, Dunn G, Ebersohl R, Eckstrand J, Fang V, Flora A, Ford E, Foster L, Fraulo E, French J, Ginsburg G, Green C, Greene L, Guptill J, Hamel D, Hamill J, Harrington C, Harrison R, Hedges L, Heidenfelder B, Hernandez A, Heydary C, Hicks T, Hight L, Hopkins D, Huang E, Huh G, Hurst J, Inman K, Janas G, Jaffee G, Johnson J, Keaton T, Khouri M, King D, Korzekwinski J, Koweek L, Kuo A, Kwee L, Landis D, Lipsky R, Lopez D, Lowry C, Marcom K, Marsolo K, McAdams P, McCall S, McGarrah R, McGugan J, Mee D, Mervin-Blake S, Mettu P, Meyer M, Meyers J, Miller C, Moen R, Muhlbaier L, Murphy M, Neely B, Newby L, Nicoldson J, Nguyen H, Nguyen M, O'Brien L, Onal S, O'Quinn J, Page D, Pagidipati N, Parikh K, Palmer S, Patrick-Lake B, Pattison B, Pencina M, Peterson E, Piccini J, Poole T, Povsic T, Provencher A, Rabineau D, Rich A, Rimmer S, Schwartz F, Serafin A, Shah N, Shah S, Shields K, Shipes S, Shrader P, Stiber J, Sutton L, Swamy G, Thomas B, Torres S, Tucci D, Twisdale A, Walker B, Whitney S, Williamson R, Wilverding L, Wong C, Wruck L, Young E, Perlmutter J, Krug S, Bowman-Zatzkin S, Assimes T, Bajaj V, Cheong M, Das M, Desai M, Fan A, Fleischmann D, Gambhir S, Gold G, Haddad F, Hong D, Langlotz C, Liao Y, Lu R, Mahaffey K, Maron D, McCue R, Munshi R, Rodriguez F, Shashidhar S, Sledge G, Spielman S, Spitler R, Swope S, Williams D, Pepine C, Lantos J, Pignone M, Heagerty P, Beskow L, Bernard G, Abad K, Angi G, Califf R, Deang L, Huynh J, Liu M, Mao C, Magdaleno M, Marks W, Mega J, Miller D, Ong N, Patel D, Ridaura V, Shore S, Short S, Tran M, Vu V, Wong C, Green R, Hernandez J, Benge J, Negrete G, Sierra G, Schaack T. Identifying a stable and generalizable factor structure of major depressive disorder across three large longitudinal cohorts. Psychiatry Research 2024;333:115702 View
  19. Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
  20. Englhardt Z, Ma C, Morris M, Chang C, Xu X, Qin L, McDuff D, Liu X, Patel S, Iyer V. From Classification to Clinical Insights. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  21. Terhorst Y, Knauer J, Philippi P, Baumeister H. The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e51875 View
  22. Langener A, Siepe B, Elsherif M, Niemeijer K, Andresen P, Akre S, Bringmann L, Cohen Z, Choukas N, Drexl K, Fassi L, Green J, Hoffmann T, Jagesar R, Kas M, Kurten S, Schoedel R, Stulp G, Turner G, Jacobson N. A template and tutorial for preregistering studies using passive smartphone measures. Behavior Research Methods 2024;56(8):8289 View
  23. Mlakar I, Arioz U, Smrke U, Plohl N, Šafran V, Rojc M. An End-to-End framework for extracting observable cues of depression from diary recordings. Expert Systems with Applications 2024;257:125025 View
  24. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  25. Maslow G, Chung R, Heilbron N, Walter B. Innovative Approaches to Addressing Pediatric Mental Health. Pediatric Clinics of North America 2024;71(6):1151 View
  26. Terhorst Y, Messner E, Asare K, Montag C, Kannen C, Baumeister H. Which Smartphone-Based Sensing Features Matter in Depression Severity Prediction? Results from an Observation Study. (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Bediou B, Wac K. Encyclopedia of Child and Adolescent Health. View