{"id":"https://openalex.org/W2739117643","doi":"https://doi.org/10.1109/iwcmc.2017.7986341","title":"Design of improved probability neural network classifiers for medical decision making with the aid of genetic optimization algorithm","display_name":"Design of improved probability neural network classifiers for medical decision making with the aid of genetic optimization algorithm","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739117643","doi":"https://doi.org/10.1109/iwcmc.2017.7986341","mag":"2739117643"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2017.7986341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100411862","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-9713-2610"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003203521","display_name":"Shaohua Wan","orcid":"https://orcid.org/0000-0001-7013-9081"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Wan","raw_affiliation_strings":["School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029714594","display_name":"Nadra Guizani","orcid":"https://orcid.org/0000-0001-5332-2685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nadra Guizani","raw_affiliation_strings":["School of Electrical & Computer Engineering, Purdue University, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, Purdue University, Indiana, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100411862"],"corresponding_institution_ids":["https://openalex.org/I132369690"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61316916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"530","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757031917572021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7094742059707642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446682214736938},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6300258636474609},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.6290663480758667},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5838502049446106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.576586902141571},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5760883688926697},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5611715912818909},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47695672512054443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4646320641040802},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4185604453086853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32876911759376526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757031917572021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7094742059707642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446682214736938},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6300258636474609},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.6290663480758667},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5838502049446106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.576586902141571},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5760883688926697},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5611715912818909},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47695672512054443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4646320641040802},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4185604453086853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32876911759376526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2017.7986341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1120651397","https://openalex.org/W1584935767","https://openalex.org/W1972503253","https://openalex.org/W1973389764","https://openalex.org/W1976883491","https://openalex.org/W1978167298","https://openalex.org/W1992129517","https://openalex.org/W1998061136","https://openalex.org/W2010439768","https://openalex.org/W2036890399","https://openalex.org/W2044276421","https://openalex.org/W2045036792","https://openalex.org/W2061079740","https://openalex.org/W2078464941","https://openalex.org/W2100413810","https://openalex.org/W2100714230","https://openalex.org/W2137512539","https://openalex.org/W2151517485","https://openalex.org/W2156909104","https://openalex.org/W2165463207","https://openalex.org/W2264557603","https://openalex.org/W2272032041","https://openalex.org/W2344975577","https://openalex.org/W2523594788","https://openalex.org/W6680216138","https://openalex.org/W6684264567"],"related_works":["https://openalex.org/W1595652908","https://openalex.org/W2375446027","https://openalex.org/W2007798284","https://openalex.org/W2067837718","https://openalex.org/W2089093251","https://openalex.org/W38478948","https://openalex.org/W4294967761","https://openalex.org/W4385506173","https://openalex.org/W2179098615","https://openalex.org/W2139532495"],"abstract_inverted_index":{"This":[0],"paper":[1],"concerns":[2],"the":[3,20,27,42,53,59,64,70,75,89,100],"design":[4],"of":[5,22,55],"classifiers":[6],"for":[7],"medical":[8],"decision":[9],"making,":[10],"and":[11,52,105],"proposes":[12],"a":[13,23,79],"novel":[14],"probabilistic":[15,29],"neural":[16,30,44,67],"network":[17,45,68],"classifier":[18],"with":[19,63],"assistance":[21],"genetic":[24,80],"algorithm.":[25],"Unlike":[26],"conventional":[28,65],"networks":[31],"that":[32],"use":[33],"all":[34],"patterns":[35],"in":[36],"data":[37,56,90],"sets":[38],"as":[39,58],"hidden":[40,60],"nodes,":[41],"proposed":[43,71],"adopts":[46],"some":[47],"centers":[48],"through":[49],"clustering":[50],"algorithms":[51],"output":[54],"set":[57],"nodes.":[61],"Comparing":[62],"probability":[66],"classifiers,":[69],"approach":[72],"significantly":[73],"decreases":[74],"time":[76],"consuming.":[77],"Furthermore,":[78],"algorithm":[81],"is":[82],"utilized":[83],"to":[84],"optimize":[85],"feature":[86],"selection":[87],"from":[88],"set.":[91],"Experimental":[92],"results":[93],"are":[94],"presented":[95],"on":[96],"several":[97],"benchmarks":[98],"illustrating":[99],"relationship":[101],"between":[102],"selected":[103],"features":[104],"disease.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}