title: Nonlinear neural mapping analysis of the adverse effects of drugs.
abstract: Numerous drugs have been identified as presenting adverse effects towards the driving of vehicles. A large set of these drugs was compiled and classified into ten categories. Nonlinear neural mapping (N2M) was used to derive a typology of these molecules and also to link their adverse effects to therapeutic categories and structural information.
authors.affiliation: CTIS, Rillieux La Pape, France.
authors.forename: D
authors.initials: D
authors.lastname: Domine
authors.forename: C
authors.initials: C
authors.lastname: Guillon
authors.forename: J
authors.initials: J
authors.lastname: Devillers
authors.forename: R
authors.initials: R
authors.lastname: Lacroix
authors.forename: J
authors.initials: J
authors.lastname: Lacroix
authors.forename: J C
authors.initials: JC
authors.lastname: Doré
mesh_terms: D001334:Automobile Driving / Q000523:psychology*; D003196:Computer Graphics; D016208:Databases, Factual; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D011358:Product Surveillance, Postmarketing; D013329:Structure-Activity Relationship