{"id":"https://openalex.org/W3178672905","doi":"https://doi.org/10.1145/3466933.3466988","title":"Construction of Mortality Tables using LSTM Neural Networks","display_name":"Construction of Mortality Tables using LSTM Neural Networks","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3178672905","doi":"https://doi.org/10.1145/3466933.3466988","mag":"3178672905"},"language":"en","primary_location":{"id":"doi:10.1145/3466933.3466988","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466933.3466988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVII Brazilian Symposium on Information Systems","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/A5058871530","display_name":"Jos\u00e9 Douglas Nascimento","orcid":"https://orcid.org/0000-0003-3513-2196"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Douglas Nascimento","raw_affiliation_strings":["Departamento de Inform\u00e1tica - Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro (PUC-Rio)"],"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica - Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro (PUC-Rio)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062598094","display_name":"Tatiana Escovedo","orcid":"https://orcid.org/0000-0002-7130-4330"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tatiana Escovedo","raw_affiliation_strings":["Departamento de Inform\u00e1tica - Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro (PUC-Rio)"],"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica - Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro (PUC-Rio)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058871530"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4858,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6498858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"87","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7609838247299194},{"id":"https://openalex.org/keywords/life-table","display_name":"Life table","score":0.7227116823196411},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.720871090888977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472730040550232},{"id":"https://openalex.org/keywords/mortality-rate","display_name":"Mortality rate","score":0.5248679518699646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4497168958187103},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.44779539108276367},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4273372292518616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33105599880218506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24119466543197632},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.16805925965309143},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08062303066253662}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7609838247299194},{"id":"https://openalex.org/C56479603","wikidata":"https://www.wikidata.org/wiki/Q632184","display_name":"Life table","level":3,"score":0.7227116823196411},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.720871090888977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472730040550232},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.5248679518699646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4497168958187103},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.44779539108276367},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4273372292518616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33105599880218506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24119466543197632},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.16805925965309143},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08062303066253662},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3466933.3466988","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466933.3466988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVII Brazilian Symposium on Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1969498530","https://openalex.org/W4238306122","https://openalex.org/W4246394131"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W1894464486","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4251232460","https://openalex.org/W4390245176"],"abstract_inverted_index":{"Mortality":[0],"Table":[1],"are":[2,76],"tables":[3,36,89],"structured":[4],"with":[5],"mortality":[6,9,58,61,88,112],"database,":[7],"especially":[8],"rates":[10,59],"observed":[11],"at":[12],"all":[13],"ages,":[14],"used":[15,49],"in":[16,50,60],"pension":[17],"funds":[18],"and":[19,54],"life":[20,35],"insurance.":[21],"This":[22],"article":[23],"based":[24],"about":[25],"application":[26],"of":[27,33,40,80,91,103],"neural":[28],"network":[29],"model":[30,42,104],"to":[31,43,108,110],"construction":[32],"forecast":[34],"comparing":[37],"the":[38,56],"performance":[39],"future":[41],"Lee-Carter":[44,46],"Model.":[45],"has":[47],"been":[48],"literature":[51],"for":[52,78],"fitting":[53],"forecasting":[55,111],"human":[57],"table.":[62],"Architecture":[63],"proposed":[64],"was":[65],"LSTM":[66,73,105],"(Long-Short":[67],"Term":[68],"Memory)":[69],"Network":[70,107],"Neural":[71,74,106],"model.":[72],"Networks":[75],"ideal":[77],"prediction":[79],"temporal":[81],"sequences.":[82],"Dates":[83],"were":[84],"collected":[85],"through":[86],"historical":[87],"information":[90],"IBGE":[92],"(Instituto":[93],"Brasileiro":[94],"de":[95],"Geografia":[96],"e":[97],"Estat\u00edstica).":[98],"Results":[99],"providing":[100],"plausible":[101],"utilily":[102],"approach":[109],"rates.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
