BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 27935995)

  • 1. Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.
    Dipnall JF; Pasco JA; Berk M; Williams LJ; Dodd S; Jacka FN; Meyer D
    PLoS One; 2016; 11(12):e0167055. PubMed ID: 27935995
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).
    Dipnall JF; Pasco JA; Berk M; Williams LJ; Dodd S; Jacka FN; Meyer D
    Eur Psychiatry; 2017 Jan; 39():40-50. PubMed ID: 27810617
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.
    Dipnall JF; Pasco JA; Berk M; Williams LJ; Dodd S; Jacka FN; Meyer D
    PLoS One; 2016; 11(2):e0148195. PubMed ID: 26848571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Posttraumatic stress disorder and physical comorbidity among female children and adolescents: results from service-use data.
    Seng JS; Graham-Bermann SA; Clark MK; McCarthy AM; Ronis DL
    Pediatrics; 2005 Dec; 116(6):e767-76. PubMed ID: 16322133
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The varying burden of depressive symptoms across adulthood: Results from six NHANES cohorts.
    García-Velázquez R; Jokela M; Rosenström TH
    J Affect Disord; 2019 Mar; 246():290-299. PubMed ID: 30594042
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Depressive symptoms and severity of illness in multiple sclerosis: epidemiologic study of a large community sample.
    Chwastiak L; Ehde DM; Gibbons LE; Sullivan M; Bowen JD; Kraft GH
    Am J Psychiatry; 2002 Nov; 159(11):1862-8. PubMed ID: 12411220
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prevalence of depression and correlates of depressive symptoms for residents in the urban part of Jeju Island, Korea.
    Kim MD; Hong SC; Lee CI; Kwak YS; Shin TK; Jang YH; Oh EH; Lee JW; Jeon BH; Hwang SE
    Int J Soc Psychiatry; 2007 Mar; 53(2):123-34. PubMed ID: 17472086
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of the 9-item Patient Health Questionnaire (PHQ-9) as an assessment instrument for symptoms of depression in patients with multiple sclerosis.
    Sjonnesen K; Berzins S; Fiest KM; M Bulloch AG; Metz LM; Thombs BD; Patten SB
    Postgrad Med; 2012 Sep; 124(5):69-77. PubMed ID: 23095427
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Depression and Its Comorbid Conditions More Serious in Women than in Men in the United States.
    Kim WK; Shin D; Song WO
    J Womens Health (Larchmt); 2015 Dec; 24(12):978-85. PubMed ID: 26131726
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Depressed or not depressed: untangling symptoms of depression in patients hospitalized with coronary heart disease.
    McGuire AW; Eastwood JA; Hays RD; Macabasco-O'Connell A; Doering LV
    Am J Crit Care; 2014 Mar; 23(2):106-16. PubMed ID: 24585159
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gastrointestinal symptoms in primary care: prevalence and association with depression and anxiety.
    Mussell M; Kroenke K; Spitzer RL; Williams JB; Herzog W; Löwe B
    J Psychosom Res; 2008 Jun; 64(6):605-12. PubMed ID: 18501261
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Association of comorbidity with depressive symptoms in community-dwelling older persons.
    Lee Y; Choi K; Lee YK
    Gerontology; 2001; 47(5):254-62. PubMed ID: 11490144
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prevalence of depressive symptoms and predictors of treatment among U.S. adults from 2005 to 2010.
    Wittayanukorn S; Qian J; Hansen RA
    Gen Hosp Psychiatry; 2014; 36(3):330-6. PubMed ID: 24462337
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Relating Factors for Depression in Korean Working Women: Secondary Analysis of the Fifth Korean National Health and Nutrition Examination Survey (KNHANES V).
    Lee KJ; Kim JI
    Asian Nurs Res (Korean Soc Nurs Sci); 2015 Sep; 9(3):265-70. PubMed ID: 26412632
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Depression, anxiety, and somatoform disorders: vague or distinct categories in primary care? Results from a large cross-sectional study.
    Hanel G; Henningsen P; Herzog W; Sauer N; Schaefert R; Szecsenyi J; Löwe B
    J Psychosom Res; 2009 Sep; 67(3):189-97. PubMed ID: 19686874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Variations in sociodemographic and health-related factors are linked to distinct clusters of individuals with depression based on the PHQ-9 instrument: NHANES 2007-2018.
    Gabarrell-Pascuet A; Domènech-Abella J; Rod NH; Varga TV
    J Affect Disord; 2023 Aug; 335():95-104. PubMed ID: 37156277
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Depression in advanced cancer--assessment challenges and associations with disease load.
    Lie HC; Hjermstad MJ; Fayers P; Finset A; Kaasa S; Loge JH;
    J Affect Disord; 2015 Mar; 173():176-84. PubMed ID: 25462414
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sleep apnea-plus: prevalence, risk factors, and association with cardiovascular diseases using United States population-level data.
    Vozoris NT
    Sleep Med; 2012 Jun; 13(6):637-44. PubMed ID: 22475994
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study.
    Sarda A; Munuswamy S; Sarda S; Subramanian V
    JMIR Mhealth Uhealth; 2019 Jan; 7(1):e11041. PubMed ID: 30694197
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.
    Hatton CM; Paton LW; McMillan D; Cussens J; Gilbody S; Tiffin PA
    J Affect Disord; 2019 Mar; 246():857-860. PubMed ID: 30795491
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.