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International Medical Case Reports Journal Volume 14, 2021 - Issue
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Case Report

Machine Learning in an Elderly Man with Heart Failure

Joel KoopsMemorial University of Newfoundland and Labrador, Discipline of Family Medicine, Health Sciences Centre, St. John’s, NL, A1B 3V6, CanadaCorrespondence[email protected]
Pages 497-502 | Published online: 28 Jul 2021

References

  • Turing A. Computing machinery and intelligence. Mind. 1950;49(236):433–460. doi:10.1093/mind/LIX.236.433
  • Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115–118. doi:10.1038/nature21056
  • Henschke CI, Yankelevitz DF, Mateescu I, Brettle DW, Rainy TG, Weingard FS. Neural networks for the analysis of small pulmonary nodules. Clin Imaging. 1997;21(6):390–399. doi:10.1016/S0899-7071(97)81731-7
  • Lo-Ciganic WH, Huang JL, Zhang HH, et al. Evaluation of machine-learning algorithms for predicting opioid overdose risk among medicare beneficiaries with opioid prescriptions. JAMA Netw Open. 2019;2(3):e190968. doi:10.1001/jamanetworkopen.2019.0968
  • Rahimian F, Salimi-Khorshidi G, Payberah AH, et al. Predicting the risk of emergency admission with machine learning: development and validation using linked electronic health records. PLoS Med. 2018;15(11):e1002695. doi:10.1371/journal.pmed.1002695
  • Liaw W, Kakadiaris IA. Artificial intelligence and family medicine: better together. Fam Med. 2020;51(1):8–10. doi:10.22454/FamMed.2020.881454
  • Lloyd-Jones DM, Larson MG, Leip EP, et al.; Framingham Heart Study. Lifetime risk for developing congestive heart failure: the Framingham Heart Study. Circulation. 2002;106(24):3068–3072. doi:10.1161/01.CIR.0000039105.49749.6F
  • Ezekowitz JA, O’Meara E, McDonald MA, et al. 2017 Comprehensive Update of the Canadian Cardiovascular Society Guidelines for the Management of Heart Failure. Can J Cardiol. 2017;33(11):1342–1433.
  • Lekavich CL, Barksdale DJ, Neelon V, Wu JR. Heart failure preserved ejection fraction (HFpEF): an integrated and strategic review. Heart Fail Rev. 2015;20(6):643–653. doi:10.1007/s10741-015-9506-7
  • Reddy YNV, Carter RE, Obokata M, Redfield MM, Borlaug BA. A simple, evidence-based approach to help guide diagnosis of heart failure with preserved ejection fraction. Circulation. 2018;138(9):861–870. doi:10.1161/CIRCULATIONAHA.118.034646
  • Chavey WE, Hogikyan RV, Van Harrison R, Nicklas JM. Heart failure due to reduced ejection fraction: medical management. Am Fam Physician. 2017;95(1):13–20.
  • Gazewood JD, Turner PL. Heart failure with preserved ejection fraction: diagnosis and management. Am Fam Physician. 2017;96(9):582–588.
  • Akhtari S, Chuang ML, Salton CJ, et al. Effect of isolated left bundle-branch block on biventricular volumes and ejection fraction: a cardiovascular magnetic resonance assessment. J Cardiovasc Magn Reson. 2018;20(1):66. doi:10.1186/s12968-018-0457-8
  • Dey A. Machine learning algorithms: a review. Int J Comput Sci Inf Technol. 2016;7(3):1174–1179.
  • Deo RC. Machine learning in medicine. Circulation. 2015;132(20):1920–1930. doi:10.1161/CIRCULATIONAHA.115.001593
  • Uddin S, Khan A, Hossain ME, Moni MA. Comparing different supervised machine learning algorithms for disease prediction. BMC Med Inform Decis Mak. 2019;19(1):1–6. doi:10.1186/s12911-019-1004-8
  • Ahmad T, Munir A, Bhatti SH, Aftab M, Raza MA. Survival analysis of heart failure patients: a case study. PLoS One. 2017;12(7):e0181001. doi:10.1371/journal.pone.0181001

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