000			01682na a2200229 4500
003			H12O
005			20180417112614.0
008			130622s2011 xxx||||| |||| 00| 0 eng d
040			_cH12O
041			_aeng
100			_aNavío Acosta, Mercedes _91866 _ePsiquiatría
245	0	0	_aEvolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department _h[artículo]
260			_bSoft Computing, _c2011
300			_a15(12):2435-2448.
500			_aFormato Vancouver: Carmona C J, González P, Del Jesús M J, Navío-Acosta M, Jiménez-Trevino L. Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department. Soft Comput. 2011;15:2435–48.
501			_aNO PMID
504			_aContiene 62 referencias
520			_aThis paper describes the application of evolutionary fuzzy systems for subgroup discovery to a medical problem, the study on the type of patients who tend to visit the psychiatric emergency department in a given period of time of the day. In this problem, the objective is to characterise subgroups of patients according to their time of arrival at the emergency department. To solve this problem, several subgroup discovery algorithms have been applied to determine which of them obtains better results. The multiobjective evolutionary algorithm MESDIF for the extraction of fuzzy rules obtains better results and so it has been used to extract interesting information regarding the rate of admission to the psychiatric emergency department.
710			_9150 _aServicio de Psiquiatría
856			_uhttp://pc-h12o-es.m-hdoct.a17.csinet.es/pdf/pc/6/pc6457.pdf _ySolicitar documento
942			_n0 _2ddc _cART
999			_c6457 _d6457