Application of a Bayes Program for Classification of Coma

Abstract

In previous investigations two additive 5-step scales (Guttman-scales) for »susceptibility to stimulation« and »reactivity« were developed. Both scales have proved very reliable for the measurement of levels of coma. Compared to usual examinations they entail additional effort. The present paper examines the possible prediction of scale-values, using neurological signs which are easier to obtain than the scale scores. A Bayes procedure was developed and. tested. Results from classification demonstrate that reactivity is highly predictable. Sequential selection of neurological signs, dependent upon their information-content leads to additional simplification of the diagnostic procedure. In contrast, susceptibility to stimulation can only be inadequately predicted from neurological signs.

Bayesian Analysis in the Diagnostic Process

“…Bayesian analysis was used to determine the optimal diagnostic criteria for diagnostic peritoneal lavage for abdominal trauma victims (25). Other areas in which Bayesian analysis has been used is the evaluation of electrocardiography (28) and coma (29). Place et al (27) showed the importance of prior probabilities based on age or family history in the evaluation of patients with breast masses using fine-needle aspiration cytology.…”