These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

255 related articles for article (PubMed ID: 37223978)

  • 1. Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study.
    Kim JS; Wang B; Kim M; Lee J; Kim H; Roh D; Lee KH; Hong SB; Lim JS; Kim JW; Ryan N
    JMIR Form Res; 2023 May; 7():e45991. PubMed ID: 37223978
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study.
    Cao J; Truong AL; Banu S; Shah AA; Sabharwal A; Moukaddam N
    JMIR Ment Health; 2020 Jan; 7(1):e14045. PubMed ID: 32012072
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study.
    Dominiak M; Kaczmarek-Majer K; Antosik-Wójcińska AZ; Opara KR; Olwert A; Radziszewska W; Hryniewicz O; Święcicki Ł; Wojnar M; Mierzejewski P
    J Med Internet Res; 2022 Jan; 24(1):e28647. PubMed ID: 34874015
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Personality traits predict treatment outcome of an antidepressant in untreated adolescents with depression: An 8-week, open-label, flexible-dose study.
    Ran LY; Liu XY; Wang W; Tao WQ; Xiang JJ; Zeng Q; Kong YT; Zhang CY; Liao J; Qiu HT; Kuang L
    J Affect Disord; 2024 Apr; 350():102-109. PubMed ID: 38199422
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early changes of serum BDNF and SSRI response in adolescents with major depressive disorder.
    Lee J; Lee KH; Kim SH; Han JY; Hong SB; Cho SC; Kim JW; Brent D
    J Affect Disord; 2020 Mar; 265():325-332. PubMed ID: 32090756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach.
    Kim AY; Jang EH; Lee SH; Choi KY; Park JG; Shin HC
    J Med Internet Res; 2023 Jan; 25():e34474. PubMed ID: 36696160
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning-Based Exploratory Study.
    Mullick T; Radovic A; Shaaban S; Doryab A
    JMIR Form Res; 2022 Jun; 6(6):e35807. PubMed ID: 35749157
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study.
    Maleki G; Zhuparris A; Koopmans I; Doll RJ; Voet N; Cohen A; van Brummelen E; Groeneveld GJ; De Maeyer J
    JMIR Form Res; 2022 Sep; 6(9):e31775. PubMed ID: 36098990
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.
    Bai R; Xiao L; Guo Y; Zhu X; Li N; Wang Y; Chen Q; Feng L; Wang Y; Yu X; Xie H; Wang G
    JMIR Mhealth Uhealth; 2021 Mar; 9(3):e24365. PubMed ID: 33683207
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study.
    Opoku Asare K; Terhorst Y; Vega J; Peltonen E; Lagerspetz E; Ferreira D
    JMIR Mhealth Uhealth; 2021 Jul; 9(7):e26540. PubMed ID: 34255713
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling.
    Nickels S; Edwards MD; Poole SF; Winter D; Gronsbell J; Rozenkrants B; Miller DP; Fleck M; McLean A; Peterson B; Chen Y; Hwang A; Rust-Smith D; Brant A; Campbell A; Chen C; Walter C; Arean PA; Hsin H; Myers LJ; Marks WJ; Mega JL; Schlosser DA; Conrad AJ; Califf RM; Fromer M
    JMIR Ment Health; 2021 Aug; 8(8):e27589. PubMed ID: 34383685
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reducing depressive symptomatology with a smartphone app: study protocol for a randomized, placebo-controlled trial.
    Giosan C; Cobeanu O; Mogoaşe C; Szentagotai A; Mureşan V; Boian R
    Trials; 2017 May; 18(1):215. PubMed ID: 28494802
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Psychometric Properties and Factor Structures of the Korean Version of Children's Depression Rating Scale-Revised.
    Kim KM; Nam S; Choi JW; Jung AH; Hong SB; Kim JW; Kim SY; Kim E; Kim JW
    J Child Adolesc Psychopharmacol; 2018 May; 28(4):285-292. PubMed ID: 28771381
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Selective serotonin reuptake inhibitors in major depressive disorder in children and adolescents (ratio of benefits/risks)].
    Hjalmarsson L; Corcos M; Jeammet P
    Encephale; 2005; 31(3):309-16. PubMed ID: 16142045
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Smartphone Cognitive Behavioral Therapy as an Adjunct to Pharmacotherapy for Refractory Depression: Randomized Controlled Trial.
    Mantani A; Kato T; Furukawa TA; Horikoshi M; Imai H; Hiroe T; Chino B; Funayama T; Yonemoto N; Zhou Q; Kawanishi N
    J Med Internet Res; 2017 Nov; 19(11):e373. PubMed ID: 29101095
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.
    Sun S; Folarin AA; Zhang Y; Cummins N; Garcia-Dias R; Stewart C; Ranjan Y; Rashid Z; Conde P; Laiou P; Sankesara H; Matcham F; Leightley D; White KM; Oetzmann C; Ivan A; Lamers F; Siddi S; Simblett S; Nica R; Rintala A; Mohr DC; Myin-Germeys I; Wykes T; Haro JM; Penninx BWJH; Vairavan S; Narayan VA; Annas P; Hotopf M; Dobson RJB;
    J Med Internet Res; 2023 Aug; 25():e45233. PubMed ID: 37578823
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study.
    Wang Y; Ren X; Liu X; Zhu T
    JMIR Mhealth Uhealth; 2021 Jan; 9(1):e19046. PubMed ID: 33404512
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study.
    Langlet B; Maramis C; Diou C; Maglaveras N; Fagerberg P; Heimeier R; Lekka I; Delopoulos A; Ioakimidis I
    JMIR Mhealth Uhealth; 2020 Jul; 8(7):e14778. PubMed ID: 32706684
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild.
    Wahle F; Kowatsch T; Fleisch E; Rufer M; Weidt S
    JMIR Mhealth Uhealth; 2016 Sep; 4(3):e111. PubMed ID: 27655245
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Usage and Weekly Attrition in a Smartphone-Based Health Behavior Intervention for Adolescents: Pilot Randomized Controlled Trial.
    Egilsson E; Bjarnason R; Njardvik U
    JMIR Form Res; 2021 Feb; 5(2):e21432. PubMed ID: 33481750
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.