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Chapter 7 - How Healthcare Decision Trees Emerge and Function

Published online by Cambridge University Press:  13 July 2023

Ramalingam Shanmugam
Ramalingam Shanmugam
Affiliation:
Texas State University, San Marcos
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Summary

The decision tree is a hierarchical approach to select one among many alternatives and then observing the outcome. The outcome has a different value and a different probability of occurrence. What is a value? A value is a priority. The value can be negative (in dollars) in the case of loss or positive in the case of gain/profit. What is probability? Probability is a numerical speculation of an occurrence in a closed interval [0, 1]. When the probability is zero, the uncertain outcome is unlikely. When the probability is one, the outcome is almost certain.

The expected value is the weighted average of the possible values. Each value is weighted according to its probability of occurrence. The expected value is a guide. Because of the realities of professional and personal life, decision-making is not a one-time action but is repeated.

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Data-Guided Healthcare Decision Making , pp. 188 - 198
Publisher: Cambridge University Press
Print publication year: 2023

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References

Selected references

Alemi, F., & Gustafson, D. H. (2007). Decision Analysis for Healthcare Managers. Chicago, IL: Health Administration Press.Google Scholar
Barlow, S. T., & Neville, P. (2001). Case study: Visualization for DTA in data mining. In Proceedings of the IEEE Symposium on Information Visualization, 2001: INFOVIS 2001 (pp. 149–152). Washington, DC: IEEE Computer Society.Google Scholar
Brink, L. L., Talbott, E. O., Sharma, R. K. et al. (2013). Do US ambient air lead levels have a significant impact on childhood blood lead levels? Results of a national study. Journal of Environmental and Public Health, 278042. https://doi.org/10.1155/2013/278042.Google Scholar
Chattamvelli, R., & Shanmugam, R. (2019). Generating Functions in Engineering and the Applied Sciences. Williston, VT: Morgan & Claypool.Google Scholar
Chattamvelli, R., & Shanmugam, R. (2020). Discrete Distributions in Engineering and the Applied Sciences. Williston, VT: Morgan & Claypool. https://doi.org/10.2200/S01013ED1V01Y202005MAS034.Google Scholar
Chattamvelli, R., & Shanmugam, R. (2021). Continuous Distributions in Engineering and the Applied Sciences: Part 1. Williston, VT: Morgan & Claypool.CrossRefGoogle Scholar
Dolezel, D., Shanmugam, R., & Morrison, E. E. (2020). Are college students health literate? Journal of American College Health, 68(3), 242–249.Google Scholar
Galetsi, P., Katsaliaki, K., & Kumar, S. (2020). Big data analytics in the health sector: Theoretical framework, techniques, and prospects. International Journal of Information Management, 50, 206–216.Google Scholar
Marchau, V. A. W. J., Walker, W. E., Bloemen, P. J. T. M., & Popper, S. W. (2019). Decision Making under Deep Uncertainty: From Theory to Practice. Cham: Springer.Google Scholar
Mittal, K., Khanduja, D., & Tewari, P. C. (2017). An insight into DTA. Worldwide Journal of Multidisciplinary Research and Development, 3(12), 111–115.Google Scholar
Moon, M., & Lee, S. K. (2017). Applying DTA to risk factors associated with pressure ulcers in long-term care facilities. Healthcare Informatics Research, 23(1), 43–52.Google Scholar
Munier, N. (2011). A Strategy for Using Multicriteria Analysis in Decision-Making: A Guide for Simple and Complex Environmental Projects. Dordrecht: Springer.Google Scholar
Myles, A. J., Feudale, R. N., Liu, Y., Woody, N. A., & Brown, S. D. (2004). An introduction to decision tree modeling. Journal of Chemometrics: A Journal of the Chemometrics Society, 18(6), 275–285.Google Scholar
Raitiere, O., Berthelot, E., Fauvel, C. et al. (2020). Modeling survival using DTA in pulmonary hypertension due to left heart disease: The prognostic significance of PVR < 3WU when TAPSE < 16 mm. European Heart Journal, 41(Supplement 2), ehaa946-2287.CrossRefGoogle Scholar
Sarin, R., & Wakker, P. (1994). Folding back in DTA. Management Science, 40(5), 625–628.Google Scholar
Shanmugam, R. (2008). Double anchored syllogisms for medical scenarios. Journal of Statistics and Applications, 3, 253–277.Google Scholar
Shanmugam, R. (2009). A tutorial of diagnostic methodology with 2 x 2 dementia data. International Journal of Data Analysis Techniques and Strategies, 2, 385–406.Google Scholar
Shanmugam, R. (2010). A diagnostic methodology for hazy data with “borderline” cases. Journal of Medical Systems, 34, 161–177.Google Scholar
Shanmugam, R. (2011a). Spinned Poisson distribution with health management application. Healthcare Management Science, 14(4), 299–306.CrossRefGoogle ScholarPubMed
Shanmugam, R. (2011b). What else do epileptic data reveal? American Medical Journal, 2(1), 13–28.Google Scholar
Shanmugam, R. (2012). Booming medical tourism and economic indices. International Journal of Research in Nursing, 3(2), 38–47.Google Scholar
Shanmugam, R. (2013a). Mosaic masonries to interpret diagnostic test results. American Medical Journal, 4(1), 12–20.Google Scholar
Shanmugam, R. (2013b). Probabilistic health: Informatics and bioterrorism. Journal of Communication and Computer, 10, 743–747.Google Scholar
Shanmugam, R. (2014a). Data envelopment analysis for operational efficiency. In Encyclopedia of Business Analytics and Optimization (Vol. 2), edited by Wang, J. (pp. 18–28). New York: IGI Global.Google Scholar
Shanmugam, R. (2014b). Data guided public healthcare decision making. In Encyclopedia of Business Analytics and Optimization (Vol. 2), edited by Wang, J. (pp. 30–43). New York: IGI Global.Google Scholar
Shanmugam, R. (2014c). Probing non-adherence to prescribed medicines? A bivariate distribution with information nucleus clarifies. American Medical Journal, 5, 54–60.Google Scholar
Shanmugam, R. (2014d). Stochastic frontier analysis and cancer survivability. In Encyclopedia of Business Analytics and Optimization (Vol. 5), edited by Wang, J. (pp. 18–26). New York: IGI Global.Google Scholar
Shanmugam, R. (2016). Data guided unraveling of mysteries in Zika virus incidences. Kenkyu Journal of Epidemiology and Community Medicine, SI 20161(100101), 1–12.Google Scholar
Shanmugam, R. (2018). Jumping at zero mass point convex Poisson distribution and its fecundability application. International Journal of Applied Mathematics and Statistics, 57(6), 21–35.Google Scholar
Shanmugam, R., & Chattamvelli, R. (2015). Statistics for Scientists and Engineers. Hoboken, NJ: Wiley Inter-Science.Google Scholar
Shanmugam, R., & Singh, J. (2012). Urgency biased beta distribution with application in drinking water data analysis. International Journal of Statistics and Economics, 9(A12), 56–82.Google Scholar
Tamura, S., Kobayashi, M., Saito, Y., Asakura, T., & Usuda, S. (2020). Fall prediction using DTA in acute care units. Journal of Physical Therapy Science, 32(11), 722–728.CrossRefGoogle Scholar
Young, A., & Kaffenberger, C. (2013). Making DATA work: A process for conducting action research. Journal of School Counseling, 11(2). http://jsc.montana.edu/articles/v11n2.pdf.Google Scholar

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