BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

268 related articles for article (PubMed ID: 29956120)

  • 1. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.
    Torous J; Larsen ME; Depp C; Cosco TD; Barnett I; Nock MK; Firth J
    Curr Psychiatry Rep; 2018 Jun; 20(7):51. PubMed ID: 29956120
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study.
    Haines-Delmont A; Chahal G; Bruen AJ; Wall A; Khan CT; Sadashiv R; Fearnley D
    JMIR Mhealth Uhealth; 2020 Jun; 8(6):e15901. PubMed ID: 32442152
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can machine-learning methods really help predict suicide?
    McHugh CM; Large MM
    Curr Opin Psychiatry; 2020 Jul; 33(4):369-374. PubMed ID: 32250986
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Systematic Assessment of Smartphone Tools for Suicide Prevention.
    Larsen ME; Nicholas J; Christensen H
    PLoS One; 2016; 11(4):e0152285. PubMed ID: 27073900
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BackUp: Development and evaluation of a smart-phone application for coping with suicidal crises.
    Pauwels K; Aerts S; Muijzers E; De Jaegere E; van Heeringen K; Portzky G
    PLoS One; 2017; 12(6):e0178144. PubMed ID: 28636617
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Systematic Literature Review of Technologies for Suicidal Behavior Prevention.
    Franco-Martín MA; Muñoz-Sánchez JL; Sainz-de-Abajo B; Castillo-Sánchez G; Hamrioui S; de la Torre-Díez I
    J Med Syst; 2018 Mar; 42(4):71. PubMed ID: 29508152
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Considerations for Digital Resources in Care for Patients With Suicidal Ideation.
    Alon N; Perret S; Segal R; Torous J
    Focus (Am Psychiatr Publ); 2023 Apr; 21(2):160-165. PubMed ID: 37201138
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Smartphones and mobile applications (apps) in clinical nursing education: A student perspective.
    O'Connor S; Andrews T
    Nurse Educ Today; 2018 Oct; 69():172-178. PubMed ID: 30096510
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Digital Suicide Prevention: Can Technology Become a Game-changer?
    Vahabzadeh A; Sahin N; Kalali A
    Innov Clin Neurosci; 2016; 13(5-6):16-20. PubMed ID: 27800282
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Precision Medicine and Suicide: an Opportunity for Digital Health.
    Barrigon ML; Courtet P; Oquendo M; Baca-García E
    Curr Psychiatry Rep; 2019 Nov; 21(12):131. PubMed ID: 31776806
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Passive Monitoring of Mental Health Status in the Criminal Forensic Population.
    Resnick KS; Appelbaum PS
    J Am Acad Psychiatry Law; 2019 Dec; 47(4):457-466. PubMed ID: 31533994
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Smartphone Usage Among Doctors in the Clinical Setting in Two Culturally Distinct Countries: Cross-sectional Comparative Study.
    Nair AA; Afroz S; Ahmed BU; Ahmed UU; Foo CC; Zaidan H; Corbally M
    JMIR Mhealth Uhealth; 2021 May; 9(5):e22599. PubMed ID: 33970119
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Suicide Prevention Mobile Apps: Descriptive Analysis of Apps from the Most Popular Virtual Stores.
    Castillo-Sánchez G; Camargo-Henríquez I; Muñoz-Sánchez JL; Franco-Martín M; de la Torre-Díez I
    JMIR Mhealth Uhealth; 2019 Aug; 7(8):e13885. PubMed ID: 31411144
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Transforming the care of atrial fibrillation with mobile health.
    Turakhia MP; Kaiser DW
    J Interv Card Electrophysiol; 2016 Oct; 47(1):45-50. PubMed ID: 27306552
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.
    Torous J; Walker R
    JAMA Psychiatry; 2019 Oct; 76(10):999-1000. PubMed ID: 31290952
    [No Abstract]   [Full Text] [Related]  

  • 17. Development of a Smartphone App to Predict and Improve the Rates of Suicidal Ideation Among Transgender Persons (TransLife): Qualitative Study.
    Dubov A; Fraenkel L; Goldstein Z; Arroyo H; McKellar D; Shoptaw S
    J Med Internet Res; 2021 Mar; 23(3):e24023. PubMed ID: 33596181
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants.
    Hansen WB; Scheier LM
    JMIR Mhealth Uhealth; 2019 Jul; 7(7):e14655. PubMed ID: 31359866
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Is India ready for mental health apps (MHApps)? A quantitative-qualitative exploration of caregivers' perspective on smartphone-based solutions for managing severe mental illnesses in low resource settings.
    Sinha Deb K; Tuli A; Sood M; Chadda R; Verma R; Kumar S; Ganesh R; Singh P
    PLoS One; 2018; 13(9):e0203353. PubMed ID: 30231056
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol.
    Spinazze P; Rykov Y; Bottle A; Car J
    BMJ Open; 2019 Dec; 9(12):e032255. PubMed ID: 31892655
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.