{"id":"https://openalex.org/W4313892619","doi":"https://doi.org/10.1109/icsai57119.2022.10005386","title":"Neural Network For Risk Assessment In Life Insurance Industry: A Case Study","display_name":"Neural Network For Risk Assessment In Life Insurance Industry: A Case Study","publication_year":2022,"publication_date":"2022-12-10","ids":{"openalex":"https://openalex.org/W4313892619","doi":"https://doi.org/10.1109/icsai57119.2022.10005386"},"language":"en","primary_location":{"id":"doi:10.1109/icsai57119.2022.10005386","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsai57119.2022.10005386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","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/A5058294746","display_name":"Th\u00e9ophile K. Dagba","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119417","display_name":"Universit\u00e9 d'Abomey-Calavi","ror":"https://ror.org/03gzr6j88","country_code":"BJ","type":"education","lineage":["https://openalex.org/I4210119417"]}],"countries":["BJ"],"is_corresponding":true,"raw_author_name":"Theophile K. Dagba","raw_affiliation_strings":["University of Abomey-Calavi,School of Applied Economics and Management,Cotonou,Republic of Benin","School of Applied Economics and Management, University of Abomey-Calavi, Cotonou, Republic of Benin"],"affiliations":[{"raw_affiliation_string":"University of Abomey-Calavi,School of Applied Economics and Management,Cotonou,Republic of Benin","institution_ids":["https://openalex.org/I4210119417"]},{"raw_affiliation_string":"School of Applied Economics and Management, University of Abomey-Calavi, Cotonou, Republic of Benin","institution_ids":["https://openalex.org/I4210119417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017283133","display_name":"Mahussi Franck Dominique Lokossou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119417","display_name":"Universit\u00e9 d'Abomey-Calavi","ror":"https://ror.org/03gzr6j88","country_code":"BJ","type":"education","lineage":["https://openalex.org/I4210119417"]}],"countries":["BJ"],"is_corresponding":false,"raw_author_name":"Mahussi Franck Dominique Lokossou","raw_affiliation_strings":["University of Abomey-Calavi,School of Applied Economics and Management,Cotonou,Republic of Benin","School of Applied Economics and Management, University of Abomey-Calavi, Cotonou, Republic of Benin"],"affiliations":[{"raw_affiliation_string":"University of Abomey-Calavi,School of Applied Economics and Management,Cotonou,Republic of Benin","institution_ids":["https://openalex.org/I4210119417"]},{"raw_affiliation_string":"School of Applied Economics and Management, University of Abomey-Calavi, Cotonou, Republic of Benin","institution_ids":["https://openalex.org/I4210119417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058294746"],"corresponding_institution_ids":["https://openalex.org/I4210119417"],"apc_list":null,"apc_paid":null,"fwci":0.4119,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75631661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.8944000005722046,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.8944000005722046,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8848000168800354,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8784999847412109,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.595736026763916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926921367645264},{"id":"https://openalex.org/keywords/analysis-of-covariance","display_name":"Analysis of covariance","score":0.5652368664741516},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5529308319091797},{"id":"https://openalex.org/keywords/ceiling","display_name":"Ceiling (cloud)","score":0.5431349873542786},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.49422577023506165},{"id":"https://openalex.org/keywords/marital-status","display_name":"Marital status","score":0.4672064185142517},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.45159125328063965},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.42524948716163635},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.41061365604400635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3592807352542877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3452296555042267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34007585048675537},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20376479625701904},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18094441294670105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1786532700061798},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1272377371788025}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.595736026763916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926921367645264},{"id":"https://openalex.org/C119340705","wikidata":"https://www.wikidata.org/wiki/Q1628597","display_name":"Analysis of covariance","level":2,"score":0.5652368664741516},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5529308319091797},{"id":"https://openalex.org/C2777489069","wikidata":"https://www.wikidata.org/wiki/Q1589822","display_name":"Ceiling (cloud)","level":2,"score":0.5431349873542786},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49422577023506165},{"id":"https://openalex.org/C2781354955","wikidata":"https://www.wikidata.org/wiki/Q11920938","display_name":"Marital status","level":3,"score":0.4672064185142517},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.45159125328063965},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.42524948716163635},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.41061365604400635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3592807352542877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3452296555042267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34007585048675537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20376479625701904},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18094441294670105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1786532700061798},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1272377371788025},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai57119.2022.10005386","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsai57119.2022.10005386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W651383702","https://openalex.org/W2534064864","https://openalex.org/W2780558386","https://openalex.org/W2792725260","https://openalex.org/W2996575680","https://openalex.org/W3097734923","https://openalex.org/W3107608787","https://openalex.org/W4210424835","https://openalex.org/W4221049655","https://openalex.org/W4225502323","https://openalex.org/W6621585521"],"related_works":["https://openalex.org/W4235479087","https://openalex.org/W2383820648","https://openalex.org/W2084133194","https://openalex.org/W2363838894","https://openalex.org/W2050664815","https://openalex.org/W4248848563","https://openalex.org/W4236328372","https://openalex.org/W2492984665","https://openalex.org/W4244750876","https://openalex.org/W4238970163"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,55],"system":[4,132],"to":[5,85,111],"predict":[6],"the":[7,31,39,52,60,67,69,73,78,90,100,106,113,118,126,131],"risk":[8],"of":[9,11,22,54,62,105,115,130],"non-payment":[10],"premium":[12],"in":[13],"health":[14],"insurance.":[15],"The":[16,92,103,128],"data":[17],"corpus":[18],"includes":[19],"total":[21],"186":[23],"instances":[24],"divided":[25],"into":[26],"127":[27],"samples":[28,36],"(70%)":[29],"for":[30,38,99,125],"learning":[32,101],"phase":[33],"and":[34,41,72],"59":[35],"(30%)":[37],"validation":[40],"test":[42],"phase.":[43,102],"Each":[44],"example":[45],"is":[46,97,123,133],"characterized":[47],"by":[48,88],"age,":[49],"marital":[50],"status,":[51],"presence":[53],"recent":[56],"illness":[57],"or":[58,65],"not,":[59],"wearing":[61],"medical":[63],"glasses":[64],"prostheses,":[66],"gender,":[68],"recovery":[70],"rate":[71],"ceiling":[74],"exceeded.":[75],"After":[76],"normalizing":[77],"data,":[79],"an":[80],"analysis":[81],"has":[82,109],"been":[83],"performed":[84],"ensure":[86],"non-redundancy":[87],"calculating":[89],"covariance.":[91],"error":[93,108],"back":[94],"propagation":[95],"algorithm":[96],"used":[98],"minimization":[104],"quadratic":[107],"allowed":[110],"retain":[112],"number":[114],"neurons":[116],"on":[117],"hidden":[119],"layer.":[120],"Neuroph":[121],"library":[122],"applied":[124],"implementation.":[127],"performance":[129],"rated":[134],"at":[135],"88.71%.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}