Application of similarity aggregation techniques to a population of paraplegic patients
Pierre Parisot · Applied Stochastic Models and Data Analysis · 1985
Abstract We studied a population of paraplegic patients in order to give prominence to a possible relationship between the topography of their spinal lesion and the occurrence of special articular diseases (P.O.A.). According to the motor and sensory state of their spinal cord, we first tried to obtain a classification of these lesions (the usual one schematically separates ‘flaccid’ and ‘rigid’ paraplegics). We mainly put the emphasis on this clustering step of the study: — choice and meaning of the data and their coding; — explanation and justification of the method used: the similarity aggregation; — interpretation of results and discussion.