Shatte ABR, Hutchinson DM, Teague SJ. Machine learning in mental health: a scoping review of methods and applications. Psychol Med. 2019;49(9):1426–48.
Guidelines for the care and treatment of persons diagnosed with chronic hepatitis C virus infection. Geneva: World Health Organization; 2018. Report No.: License: CC BY-NC-SA 3.0 IGO. https://www.who.int/publications/i/item/9789241550345.
Nanni MG, Caruso R, Mitchell AJ, Meggiolaro E, Grassi L. Depression in HIV infected patients: a review. Curr Psychiatry Rep. 2015;17(1):530.
Younossi Z, Park H, Henry L, Adeyemi A, Stepanova M. Extrahepatic manifestations of hepatitis C: a meta-analysis of prevalence, quality of life, and economic burden. Gastroenterology. 2016;150(7):1599–608.
Yeoh SW, Holmes ACN, Saling MM, Everall IP, Nicoll AJ. Depression, fatigue and neurocognitive deficits in chronic hepatitis C. Hepatol Int. 2018;12(4)294–304.
Fialho R, Pereira M, Rusted J, Whale R. Depression in HIV and HCV co-infected patients: a systematic review and meta-analysis. Psychol Health Med. 2017;22(9):1089–104.
Belenky NM, Cole SR, Pence BW, Itemba D, Maro V, Whetten K. Depressive symptoms, HIV medication adherence, and HIV clinical outcomes in Tanzania: a prospective, observational study. PLoS ONE. 2014;9(5):e95469.
Aibibula W, Cox J, Hamelin A-M, Moodie EEM, Anema A, Klein Marina B, et al. Association between depressive symptoms, CD4 count and HIV viral suppression among HIV-HCV co-infected people. AIDS Care. 2018;30(5):643–9.
Malhi GS, Mann JJ. Depression. Lancet (London, England). 2018;392(10161):2299–312.
Eaton WW. Johns Hopkins Bloomberg School of Public Health Department of Mental H. Public mental health. New York: Oxford University Press; 2012.
Ma H, Villalobos CF, St-Jean M, Eyawo O, Lavergne MR, Ti L, et al. The impact of HCV co-infection status on healthcare-related utilization among people living with HIV in British Columbia, Canada: a retrospective cohort study. BMC Health Serv Res. 2018;18(1):319.
Grebely J, Oser M, Taylor LE, Dore GJ. Breaking down the barriers to Hepatitis C Virus (HCV) treatment among individuals with HCV/HIV coinfection: action required at the system, provider, and patient levels. J Infect Dis. 2013;207(1):S19–25.
Bonner JE, Barritt AST, Fried MW, Evon DM. Time to rethink antiviral treatment for hepatitis C in patients with coexisting mental health/substance abuse issues. Dig Dis Sci. 2012;57(6):1469–74.
Knott A, Dieperink E, Willenbring ML, Heit S, Durfee JM, Wingert M, et al. Integrated psychiatric/medical care in a chronic hepatitis C clinic: effect on antiviral treatment evaluation and outcomes. Am J Gastroenterol. 2006;101(10):2254–62.
Anagnostopoulos A, Ledergerber B, Jaccard R, Shaw SA, Stoeckle M, Bernasconi E, et al. Frequency of and risk factors for depression among participants in the Swiss HIV Cohort Study (SHCS). PLoS ONE. 2015;10(10):e0140943.
Dwyer DB, Falkai P, Koutsouleris N. Machine learning approaches for clinical psychology and psychiatry. Annu Rev Clin Psychol. 2018;14(1):91–118.
Graham S, Depp C, Lee EE, Nebeker C, Tu X, Kim HC, et al. Artificial intelligence for mental health and mental illnesses: an overview. Curr Psychiatry Rep. 2019;21(11):116.
Sau A, Bhakta I. Artificial Neural Network (ANN) model to predict depression among geriatric population at a Slum in Kolkata. India J Clin Diagn Res. 2017;11(5):Vc01-vc4.
Jin H, Wu S, Di Capua P. Development of a clinical forecasting model to predict comorbid depression among diabetes patients and an application in depression screening policy making. Prev Chronic Dis. 2015;12:E142.
Klein MB, Saeed S, Yang H, Cohen J, Conway B, Cooper C, et al. Cohort profile: the Canadian HIV-hepatitis C co-infection cohort study. Int J Epidemiol. 2010;39(5):1162–9.
Cox J, Hamelin AM, McLinden T, Moodie EE, Anema A, Rollet-Kurhajec KC, et al. Food insecurity in HIV-Hepatitis C Virus Co-infected Individuals in Canada: the importance of co-morbidities. AIDS Behav. 2017;21(3):792–802.
EuroQol--a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208. https://doi.org/10.1016/0168-8510(90)90421-9.
Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10(2):77–84.
Zhang W, O’Brien N, Forrest JI, Salters KA, Patterson TL, Montaner JS, et al. Validating a shortened depression scale (10 item CES-D) among HIV-positive people in British Columbia, Canada. PLoS ONE. 2012;7(7):e40793.
Breiman L. Random forests. Mach Learn. 2001;45(1):5–32.
Malley JD, Kruppa J, Dasgupta A, Malley KG, Ziegler A. Probability machines: consistent probability estimation using nonparametric learning machines. Methods Inf Med. 2012;51(1):74–81.
Hastie T, Tibshirani R, Friedman JH. The elements of statistical learning : data mining, inference, and prediction. 2nd ed. New York: Springer; 2009. https://doi.org/10.1007/978-0-387-84858-7.
Max Kuhn Contributions from Jed Wing SW, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer and Brenton Kenkel, R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, Tyler Hunt. caret: Classification and Regression Training. R package version 6.0–842019.
Baron EC, Davies T, Lund C. Validation of the 10-item Centre for Epidemiological Studies depression scale (CES-D-10) in Zulu, Xhosa and Afrikaans populations in South Africa. BMC Psychiatry. 2017;17(1):6.
Bjorgvinsson T, Kertz SJ, Bigda-Peyton JS, McCoy KL, Aderka IM. Psychometric properties of the CES-D-10 in a psychiatric sample. Assessment. 2013;20(4):429–36.
Canadian Community Health Survey, Cycle 2.2, Nutrition (2004): Income-Related Household Food Security in Canada. Ottawa: Health Canada; 2007. ISBN 978-0-662-45595-0. https://www.canada.ca/en/health-canada/services/food-nutrition/food-nutrition-surveillance/health-nutrition-surveys/canadian-community-health-survey-cchs/canadian-community-health-survey-cycle-2-2-nutrition-2004-income-related-household-food-security-canada-health-canada-2007.html.
Steyerberg EW. Clinical prediction models : a practical approach to development, validation, and updating. Cham, Switzerland: Springer; 2019.
Hosmer DW, Lemeshow S, Sturdivant RX. Applied Logistic Regression. Chicester: Wiley; 2013.
Youden WJ. Index for rating diagnostic tests. Cancer. 1950;3(1):32–5.
StataCorp. Stata Statistical Software: Release 16. College Station, TX: StataCorp LLC; 2019.
R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria2013.
Wright MN, Ziegler A. ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R. 2017. 2017;77(1):17.
Wong J, Manderson T, Abrahamowicz M, Buckeridge DL, Tamblyn R. Can hyperparameter tuning improve the performance of a super learner?: a case study. Epidemiology. 2019;30(4):521–31.
Joie E, Kym IES, Emma CM. PMCALPLOT: Stata module to produce calibration plot of prediction model performance. S458486 ed: Boston College Department of Economics; 2018.
Sau A, Bhakta I. Screening of anxiety and depression among the seafarers using machine learning technology. Inform Med Unlocked. 2018:100149. https://doi.org/10.1016/j.imu.2018.12.004.
Rosellini AJ, Liu S, Anderson GN, Sbi S, Tung ES, Knyazhanskaya E. Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach. J Psychiatr Res. 2019;121:189–96.
Wang J, Sareen J, Patten S, Bolton J, Schmitz N, Birney A. A prediction algorithm for first onset of major depression in the general population: development and validation. J Epidemiol Community Health. 2014;68(5):418–24.
King M, Bottomley C, Bellon-Saameno J, Torres-Gonzalez F, Svab I, Rotar D, et al. Predicting onset of major depression in general practice attendees in Europe: extending the application of the predictD risk algorithm from 12 to 24 months. Psychol Med. 2013;43(9):1929–39.
Coiro MJ. Depressive symptoms among women receiving welfare. Women Health. 2001;32(1–2):1–23.
Wu S, Fraser MW, Chapman MV, Gao Q, Huang J, Chowa GA. Exploring the relationship between welfare participation in childhood and depression in adulthood in the United States. Soc Sci Res. 2018;76:12–22.
Rizvi SJ, Cyriac A, Grima E, Tan M, Lin P, Gallaugher LA, et al. Depression and employment status in primary and tertiary care settings. Can J Psychiatry. 2015;60(1):14–22.
Monda V, La Marra M, Perrella R, Caviglia G, Iavarone A, Chieffi S, et al. Obesity and brain illness: from cognitive and psychological evidences to obesity paradox. Diabetes Metab Syndr Obes. 2017;10:473–9.
Banack HR, Kaufman JS. From bad to worse: collider stratification amplifies confounding bias in the “obesity paradox.” Eur J Epidemiol. 2015;30(10):1111–4.
Nuttall FQ. Body mass index: obesity, bmi, and health: a critical review. Nutr Today. 2015;50(3):117–28.