Predictive coding principles were found as early as in the retina (Srinivasan et al. 1982; Hosoya et al. 2005) and have been used in recent modeling frameworks of cortical visual responses (Rao and Ballard 1999; Friston 2005; Spratling 2010, 2012; Boerlin and Dèneve 2011), also suggesting a combination of stimulus and error-like coding within single neurons (Eriksson et al. 2012).
And due to poor study quality, factors not predictive for sequelae or death might have been found as prognostic factors.
More recently, smoking, depression, psychiatric illness, and high body mass index have been found to be predictive of negative outcome, as have long duration of symptoms and preoperative resting numbness (Ng et al. 2007, Hara et al. 2010, Athiviraham et al. 2011, Radcliff et al. 2011, Sandén et al. 2011, Sinikallio et al. 2011).
Versican is suggested to be a prognostic marker as it has been found to be predictive of cancer relapse, negatively affecting overall survival rates of breast cancer patients [ 44].
Total comorbidity counts have been found to be strongly predictive of survival among colon cancer patients as well.
Predictive recommendations alone have been found to uplift order value by 40%.
Similar predictive success with films has been found elsewhere on the Internet.
It is possible that preservation of AF with direct electrocortical stimulation results in better prognosis, as the AF was found to be predictive for overall efficiency of speech and naming in stroke patients [ 38].
Negative behaviours, such as nagging and complaining, were found predictive of a relapse.
Interestingly, in these studies, higher body weight was found to be predictive of HAPR - analogously as in the above cited study by Maree et al. [ 34, 55, 56].
