Predicting Self-Reported Health Status Using Artificial Neural Networks
Nephi Walton, Stacey Knight, MStat and Mollie R. Poynton, Ph.D., APRN, BC
Edited byGary Miner, Ph.D.
Background
Self-reported health status in the form of the question “How would you say your health in general is?” has been shown to be an excellent predictor of mortality, health care utilization, and disability (Mossey and Shapiro, 1982; Idler et al., 1992; Idler and Kasl, 1995; Idler and Benyamini, 1997; Idler et al., 2004; Maciejewski et al., 2005). While the strength of effect varies, the predictive power of self-reported health status has been found in different countries, racial/ethnic groups, age groups, and patient populations (Mossey ...
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