A Glimpse to the Future: Identifying Stroke Risk Factors Using Data Visualization for Stroke Prediction

Marion Az-Zahra

doi:10.56741/esl.v3i01.470

Authors

Marion Az-Zahra
marion.azzahra@student.sgu.ac.id
Swiss German University

Keywords:

data visualization, risk factors, stroke prediction

Abstract

According to the World Health Organization (WHO), stroke stands as the second leading cause of death, accounting for 11 percent of total deaths in the world. This study identifies risk factors associated with stroke that could help predict the likelihood of a person getting a stroke by assessing input parameters such as gender, age, medical conditions related to stroke and cardiac disease, smoking status, body mass index, and average glucose level, among others. The results, presented with data visualization, showed that the above risk factors were significant in signifying stroke incidence.

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Author Biography

Marion Az-Zahra, Swiss German University

is a student in the field of Business and Management at Swiss German University, located in Jakarta, Indonesia. As a student in the business domain, she is likely engaged in various academic and practical activities related to business and management studies. (email: marion.azzahra@student.sgu.ac.id).

References

C. P. Warlow, J. van Gijn, and M. Dennis, Stroke: practical management, 3rd ed. Oxford: Blackwell Publishing, 2008. DOI: https://doi.org/10.1002/9780470696361

World Health Organization, “The Top 10 Causes of Death,” World Health Organization. Accessed: Dec. 14, 2023. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death

M. O. Owolabi, S. Akarolo-Anthony, R. Akinyemi, D. Arnett, M. Gebregziabher, and C. Jenkins, “The burden of stroke in Africa: a glance at the present and a glimpse into the future,” Cardiovascular Journal Africa, vol. 26, no. 2, pp. 27–38, 2015. DOI: https://doi.org/10.5830/CVJA-2015-038

K. Strong, C. Mathers, and R. Bonita, “Preventing stroke: saving lives around the world,” Lancet Neurol, vol. 6, no. 2, 2007. DOI: https://doi.org/10.1016/S1474-4422(07)70031-5

P. Langhorne, J. Bernhardt, and G. Kwakkel, “Stroke rehabilitation,” The Lancet, vol. 377, no. 9778, pp. 1693–1702, 2011. DOI: https://doi.org/10.1016/S0140-6736(11)60325-5

L. Legg, A. Pollock, P. Langhorne, and C. Sellars, “A multidisciplinary research agenda for stroke rehabilitation,” British Journal of Therapy and Rehabilitation, vol. 7, no. 7, pp. 319–324, 2000. DOI: https://doi.org/10.12968/bjtr.2000.7.7.13869

W. Johnson, O. Onuma, M. Owolabi, and S. Sachdev, “Stroke: a global response is needed,” Bulletin of the World Health Organization, vol. 94, no. 9, 2016. DOI: https://doi.org/10.2471/BLT.16.181636

S. C. Johnston, S. Mendis, and C. D. Mathers, “Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling,” Lancet Neurology, vol. 8, no. 4, 2009. DOI: https://doi.org/10.1016/S1474-4422(09)70023-7

N. Stroebele, F. Mueller-Riemenschneider, C. H. Nolte, J. Mueller-Nordhorn, A. Bockelbrink, and S. N. Willich, “Knowledge of risk factors, and warning signs of stroke: a systematic review from a gender perspective,” International Journal of Stroke, vol. 6, no. 1, pp. 60–66, 2011. DOI: https://doi.org/10.1111/j.1747-4949.2010.00540.x

G. Boysen et al., “Stroke Incidence and Risk Factors for Stroke in Copenhagen, Denmark,” Stroke, vol. 19, no. 11, pp. 1345–1353, 1988. DOI: https://doi.org/10.1161/01.STR.19.11.1345

N. Dagres et al., “Gender-Related Differences in Presentation, Treatment, and Outcome of Patients With Atrial Fibrillation in Europe. A Report From the Euro Heart Survey on Atrial Fibrillation,” J Am Coll Cardiol, vol. 49, no. 5, pp. 572–577, Feb. 2007, doi: 10.1016/j.jacc.2006.10.047. DOI: https://doi.org/10.1016/j.jacc.2006.10.047

G. Y. H. Lip, T. Watson, and E. Shantsila, “Anticoagulation for stroke prevention in atrial fibrillation: Is gender important?,” European Heart Journal, vol. 27, no. 16. pp. 1893–1894, Aug. 2006. doi: 10.1093/eurheartj/ehl140. DOI: https://doi.org/10.1093/eurheartj/ehl140

A. Towfighi, J. L. Saver, R. Engelhardt, and B. Ovbiagele, “A midlife stroke surge among women in the United States,” Neurology, vol. 69, no. 20, pp. 1898–1904, 2007. DOI: https://doi.org/10.1212/01.wnl.0000268491.89956.c2

M. Kelly-Hayes, “Influence of age and health behaviors on stroke risk: Lessons from longitudinal studies,” Journal of the American Geriatrics Society, vol. 58, no. SUPPL. 2. Oct. 2010. doi: 10.1111/j.1532-5415.2010.02915.x. DOI: https://doi.org/10.1111/j.1532-5415.2010.02915.x

R. Marinigh, G. Y. H. Lip, N. Fiotti, C. Giansante, and D. A. Lane, “Age as a risk factor for stroke in atrial fibrillation patients: Implications for thromboprophylaxis,” Journal of the American College of Cardiology, vol. 56, no. 11. Elsevier USA, pp. 827–837, Sep. 07, 2010. doi: 10.1016/j.jacc.2010.05.028. DOI: https://doi.org/10.1016/j.jacc.2010.05.028

P. A. Wolf, R. D. Abbott, and W. B. Kannel, “Atrial fibrillation as an independent risk factor for stroke: the Framingham Study,” Stroke, vol. 22, no. 8, pp. 983–988, 1991. DOI: https://doi.org/10.1161/01.STR.22.8.983

R. S. Vasan, A. Beiser, and S. et al Seshadri, “Residual Lifetime Risk for Developing Hypertension in Middle-aged Women and Men The Framingham Heart Study,” JAMA, vol. 287, no. 8, pp. 1003–1010, 2002. DOI: https://doi.org/10.1001/jama.287.8.1003

S. Seshadri, P. A. Wolf, and A. et al. Beiser, “Elevated Midlife Blood Pressure Increases Stroke Risk in Elderly Persons: The Framingham Study,” Arch Intern Med, vol. 161, no. 19, pp. 2343–2350, 2001. DOI: https://doi.org/10.1001/archinte.161.19.2343

K. Kario et al., “Morning Hypertension: The Strongest Independent Risk Factor for Stroke in Elderly Hypertensive Patients,” 2006. DOI: https://doi.org/10.1291/hypres.29.581

Y. Komachi et al., “Geographic and Occupational of Risk Factors in Cardiovascular Diseases in Japan,” Jpn Circ J, vol. 35, no. 2, pp. 189–207, 1971. DOI: https://doi.org/10.1253/jcj.35.189

C. Zhu et al., “The association of marital/partner status with patient-reported health outcomes following acute myocardial infarction or stroke: Protocol for a systematic review and meta-analysis,” PLoS One, vol. 17, no. 11, 2022. DOI: https://doi.org/10.1371/journal.pone.0267771

K. K. Andersen and T. S. Olsen, “Stroke case-fatality and marital status,” Acta Neurol Scand, vol. 138, no. 4, pp. 377–383, 2018. DOI: https://doi.org/10.1111/ane.12975

K. Berger, H. Schulte, M. D. Stuegbauer, and G. Assmann, “Incidence and Risk Factors for Stroke in an Occupational Cohort: The PROCAM Study,” Stroke, vol. 29, no. 8, pp. 1562–1566, 1998. DOI: https://doi.org/10.1161/01.STR.29.8.1562

A. Kumar, M. Prasad, and P. Kathuria, “Sitting occupations are an independent risk factor for Ischemic stroke in North Indian population,” International Journal of Neuroscience, vol. 124, no. 10, pp. 748–754, 2014. DOI: https://doi.org/10.3109/00207454.2013.879130

M. O’Donnell, D. Xavier, L. Liu, and H. et al. Zhang, “Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study,” The Lancet, vol. 376, no. 9735, pp. 112–123, 2010. DOI: https://doi.org/10.1016/S0140-6736(10)60834-3

A. Holtermann, J. L. Marott, F. Gyntelberg, and K. et al. Sogaard, “Does the benefit on survival from leisure time physical activity depend on physical activity at work? A prospective cohort study,” PLoS One, vol. 8, no. 1, 2013. DOI: https://doi.org/10.1371/journal.pone.0054548

V. R. Bhatt et al., “Risk factors of stroke,” Journal of Institute of Medicine, vol. 30, no. 3, pp. 37–41, 2008.

J. Tuomilehto and D. Rastenyte, “Diabetes and glucose intolerance as risk factors for stroke,” J Cardiovasc Risk, vol. 6, no. 4, pp. 241–249, 1999. DOI: https://doi.org/10.1177/204748739900600409

J. Tuomilehto, A. Schranz, D. Aldana, and J. Pitkäniemi, “The Effect of Diabetes and Impaired Glucose Tolerance on Mortality in Malta,” Diabetic Medicine, vol. 11, no. 2, pp. 170–176, 1994, doi: 10.1111/j.1464-5491.1994.tb02015.x. DOI: https://doi.org/10.1111/j.1464-5491.1994.tb02015.x

J. Stamler, “Epidemiologic findings on body mass and blood pressure in adults,” Ann Epidemiol, vol. 1, no. 4, pp. 347–362, 1991. DOI: https://doi.org/10.1016/1047-2797(91)90045-E

K. M. Rexrode, C. H. Hennekens, W. C. Willett, and G. A. et al. Colditz, “A Prospective Study of Body Mass Index, Weight Change, and Risk of Stroke in Women,” JAMA, vol. 277, no. 19, 1997. DOI: https://doi.org/10.1001/jama.1997.03540430051032

T. Kurth, J. M. Gaziano, and K. et al. Berger, “Body Mass Index and the Risk of Stroke in Men,” Arch Intern Med, vol. 162, no. 22, pp. 2557–2562, 2002. DOI: https://doi.org/10.1001/archinte.162.22.2557

P. A. Wolf, R. B. D’Agostino, and W. B. Kannel, “Cigarette smoking as a risk factor for stroke: The Framingham Study,” JAMA, vol. 259, 1988. DOI: https://doi.org/10.1001/jama.1988.03720070025028

T. A. Manolio, R. A. Kronmal, and G. L. et al. Burke, “Short-term predictors of incident stroke in older adults,” The Cardiovascular Health Study, vol. 27, pp. 1479–1486, 1996. DOI: https://doi.org/10.1161/01.STR.27.9.1479

B. L. Rodriguez, R. D’Agostino, and R. D. et al. Abbott, “Risk of hospitalized stroke in men enrolled in the Honolulu Heart Program and the Framingham Study: A comparison of incidence and risk factor effects,” Stroke, vol. 33, pp. 230–236, 2002. DOI: https://doi.org/10.1161/hs0102.101081

R. Shinton and G. Beevers, “Meta-analysis of relation between cigarette smoking and stroke,” BMJ, vol. 298, pp. 789–794, 1989. DOI: https://doi.org/10.1136/bmj.298.6676.789

T. Hillen, C. Coshall, K. Tilling, A. G. Rudd, R. McGovern, and C. D. A. Wolfe, “Cause of Stroke Recurrence Is Multifactorial: Patterns, Risk Factors, and Outcomes of Stroke Recurrence in the South London Stroke Register,” Stroke, vol. 34, no. 6, pp. 1457–1463, 2003. DOI: https://doi.org/10.1161/01.STR.0000072985.24967.7F

S. Zheng and B. Yao, “Impact of risk factors for recurrence after the first ischemic stroke in adults: A systematic review and meta-analysis,” Journal of Clinical Neuroscience, vol. 60, pp. 24–30, 2018. DOI: https://doi.org/10.1016/j.jocn.2018.10.026

Fedesoriano, “Stroke Prediction Dataset.” Kaggle, 2020. Accessed: Dec. 14, 2023. [Online]. Available: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset/data