A Machine Learning Approach to Improving Dynamic Decision Making
Published Online:21 Mar 2014https://doi.org/10.1287/isre.2014.0513
References
- ACCORD Study Group (2008) Effects of intensive glucose lowering in type 2 diabetes. New England J. Medicine 358(24):2545–2559.Crossref, Google Scholar
- American Diabetes Association (ADA) (2013) Economic costs of diabetes in the U.S. in 2012. Diabetes Care 36(4):1033–1046.Crossref, Google Scholar
- (2010) When clinical practice guidelines meet the black box. Arch. Internal Medicine 170(12):1013–1014.Crossref, Google Scholar
- (2006) Inventory Control (Springer Science+Business Media, New York).Google Scholar
- (1981) Mathematical equations or processing routines? Rasmussen J, Rouse WB, eds. Human Detection and Diagnosis of Systems Failures (Plenum, New York), 259–286.Crossref, Google Scholar
- (1978) A contingency model for the selection of decision strategies. Acad. Management Rev. 3(3):439–449.Crossref, Google Scholar
- (2006) Bias in published cost effectiveness studies: systematic review. British Medical J. 332:699–703.Crossref, Google Scholar
- (1990) Strategies in real-time, dynamic decision making. Insights in Decision Making (University of Chicago Press, Chicago).Google Scholar
- (1992) Dynamic decision making: Human control of complex systems. Acta Psychologica 81:211–241.Crossref, Google Scholar
- (1986) Implicit and explicit knowledge in the control of complex systems. British J. Psych. 77(1):33–50.Crossref, Google Scholar
- Centers for Disease Control and Prevention (CDC) (2011) National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States. U.S. Department of Health and Human Services, Atlanta, http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdfGoogle Scholar
- (2000) Comprehensive league table of cost-utility ratios and a sub-table of “panel-worthy” studies. Medical Decision Making 20:451–458.Crossref, Google Scholar
- (1970) Every good regulator of a system must be a model of that system. Internat. J. Systems Sci. 1(2):89–97.Crossref, Google Scholar
- (2005) Simcare: A model for studying physician decision making activity. Advances in Patient Safety: From Research to Implementation (Agency for Healthcare Research and Quality, Rockville, MD), 179–192.Google Scholar
- (1962) Dynamic decision theory and probabilistic information processing. Human Factors 4(2):59–73.Crossref, Google Scholar
- (1971) Counterintuitive behavior of social systems. Tech. Rev. 73(3):52–68.Google Scholar
- (2001) The role of statistics in the data revolution? Internat. Statist. Rev. 69(1):5–10.Crossref, Google Scholar
- (1991) Solving complex problems: Exploration and control of complex systems. Sternberg R, Frensch P, eds. Complex Problem Solving—Principles and Mechanisms (Lawrence Erlbaum Associates, Hillsdale, NJ), 185–222.Google Scholar
- (1996) Cost-Effectiveness in Health and Medicine (Oxford University Press, New York).Crossref, Google Scholar
- (1996) History of success and current context in problem solving: Combined influences on operator selection. Cognitive Psych. 31:168–217.Crossref, Google Scholar
- (1985) Systems analysis and dynamic decision making. Acta Psychologica 58:159–172.Crossref, Google Scholar
- (1868) On governors. Proc. Royal Soc. London, Vol. 16, 270–283.Google Scholar
- (2005) Staged Diabetes Management: Prevention, Detection and Treatment of Diabetes in Adults Quick Guide (Matrex, Minneapolis).Google Scholar
- (2012) Validating a computational model of patient illness: The Simcare patient model. Ph.D. thesis, University of Minnesota, Minneapolis.Google Scholar
- (2010) Validation of the SimCare model: A computational model of individual patients with type 2 diabetes. Diabetes 59(suppl 1):A353.Google Scholar
- (2006) Numerical Optimization, 2nd ed. (Springer, New York).Google Scholar
- (2003) Estimates of direct medical costs for microvascular and macrovascular complications resulting from type 2 diabetes mellitus in the United States in 2000. Clinical Therapeutics 25(3):1017–1038.Crossref, Google Scholar
- (1998) Direct medical costs of complications resulting from type 2 diabetes in the U.S. Diabetes Care 21(7):1122–1128.Crossref, Google Scholar
- (2005) Impact of an electronic medical record on diabetes quality of care. Ann. Family Medicine 3:300–306.Crossref, Google Scholar
- (2007) Competing demands or clinical inertia: The case of elevated glycosylated hemoglobin. Ann. Family Medicine 5(3):196–201.Crossref, Google Scholar
- Physicians Desk Reference (PDR) (2011) PDR: Physicians Desk Reference, 66 ed. (PDR Network, Montvale, NJ).Google Scholar
- (2000) Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis (Oxford University Press, New York).Google Scholar
- (2001) Clinical inertia. Ann. Intern. Med. 135:825–834.Crossref, Google Scholar
- (1987) Generating production rules from decision trees. McDermott JP, ed. Proc. Tenth Internat. Joint Conf. Artificial Intelligence (Morgan Kaufmann, Los Altos, CA), 304–307.Google Scholar
- (1993) C4.5: Programs for Machine Learning (Morgan Kaufmann, San Mateo, CA).Google Scholar
- (2010) Using functional data analysis to identify physician decision strategies which lead to better type 2 diabetes patient outcomes. Veinot T, ed. 1st ACM Internat. Conf. Health Informatics (ACM, New York).Crossref, Google Scholar
- (1975) Research paradigms for the study of dynamic decision behavior. Wendt D, Vlek C, eds. Utility, Probability and Human Decision Making (Reidel, Dortrecht, The Netherlands), 349–369.Crossref, Google Scholar
- (1965) Cognition and Thought: An Information-Processing Approach (John Wiley & Sons, New York).Google Scholar
- (1997) Expert operations and critical tasks. Trapped in the Net: The Unanticipated Consequences of Computerization (Princeton University Press, Princeton, NJ).Google Scholar
- (2004) Data mining algorithm for manufacturing process control. Internat. J. Advanced Manufacturing Tech. 28:342–350.Crossref, Google Scholar
- (2004) Process Dynamics and Control (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (1986) Adaptive control strategies for process control: A survey. Amer. Inst. Chemical Engineers J. 32(6):881–913.Crossref, Google Scholar
- (2003) Determining the value of disease management programs. Joint Commission J. Quality Patient Safety 29(9):491–499.Crossref, Google Scholar
- (2005) Clinical inertia in response to inadequate glycemic control. Diabetes Care 28(3):600–606.Crossref, Google Scholar
- (1969) The Sciences of the Artificial (MIT Press, Cambridge, MA).Google Scholar
- (1973) The structure of ill-structured problems. Artificial Intelligence 4:181–201.Crossref, Google Scholar
- (1989) Misperceptions of feedback in dynamic decision making. Organ. Behav. Human Decision Processes 43:301–335.Crossref, Google Scholar
- (2001) The UKPDS risk engine: A model for the risk of coronary heart disease in Type II diabetes (UKPDS 56). Clinical Sci. 101:671–679.Crossref, Google Scholar
- (1998) Reinforcement Learning: An Introduction (MIT Press, Cambridge, MA).Google Scholar
- (2006) Introduction to Data Mining (Addison-Wesley, Essex, UK).Google Scholar
- (2004) Process mining: A research agenda. Comput. Indust. 53(3):231–244.Crossref, Google Scholar
- (2007) A multi-objective genetic programming approach to developing Pareto optimal decision trees. Decision Support Systems 43(3):809–826.Crossref, Google Scholar

