title: Generalized Caseview applied to prostate cancer prognosis.
abstract: The interpretation of results of any study using large tables with series of numbers is always difficult. Generalized Case View Method (GCm) allows translating these tables of numbers into an image. The Method identifies each informational entity in the table with a 'pixel', forming what we call an 'infoxel'. The sum of all informational entities becomes an image, the Generalized Caseview. The method consists of two steps: the first one is to define the reference frame while the second is to visualize data through the reference frame. The 'infoxels' that constitute the reference frame should be organized according to three criteria: binary, nominal and ordinal. Here this method has been applied to visualize the results of a study about prostate cancer spread. This paper exemplifies the usefulness of associating a classical statistical tool with Generalized Caseview method to solve a biomedical problem.
authors.affiliation: Public Health Department Hôpital Tenon, Assistance Publique Hôpitaux de Paris, 4 rue de la Chine, 75970, Cedex 20, France. pierre.levy@tnn.aphp.fr
authors.forename: Pierre P
authors.initials: PP
authors.lastname: Levy
authors.forename: Armelle
authors.initials: A
authors.lastname: Bardier
authors.forename: Jean-Dominique
authors.initials: JD
authors.lastname: Doublet
authors.forename: Mathilde
authors.initials: M
authors.lastname: Sibony
mesh_terms: D001185:Artificial Intelligence; D001706:Biopsy / Q000379:methods*; D003196:Computer Graphics; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D011471:Prostatic Neoplasms / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface