{"id":"https://openalex.org/W4206919704","doi":"https://doi.org/10.1109/ssci50451.2021.9660104","title":"Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment","display_name":"Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206919704","doi":"https://doi.org/10.1109/ssci50451.2021.9660104"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660104","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5038778858","display_name":"Gabriella Casalino","orcid":"https://orcid.org/0000-0003-0713-2260"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriella Casalino","raw_affiliation_strings":["University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0713-2260","affiliations":[{"raw_affiliation_string":"University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050227787","display_name":"Giovanna Castellano","orcid":"https://orcid.org/0000-0002-6489-8628"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanna Castellano","raw_affiliation_strings":["University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6489-8628","affiliations":[{"raw_affiliation_string":"University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080242338","display_name":"Uzay Kaymak","orcid":"https://orcid.org/0000-0002-4500-9098"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Uzay Kaymak","raw_affiliation_strings":["Jheronimus Academy of Data Science Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4500-9098","affiliations":[{"raw_affiliation_string":"Jheronimus Academy of Data Science Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005007355","display_name":"Gianluca Zaza","orcid":"https://orcid.org/0000-0003-3272-9739"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Zaza","raw_affiliation_strings":["University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3272-9739","affiliations":[{"raw_affiliation_string":"University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7754,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88170055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983999729156494,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.9797999858856201,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9765999913215637,"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/interpretability","display_name":"Interpretability","score":0.9317457675933838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490043640136719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6914647817611694},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.6723629832267761},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.6414489150047302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6205946803092957},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.6093311905860901},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5860505104064941},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5528780221939087},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5322098135948181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47773927450180054}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9317457675933838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490043640136719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6914647817611694},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.6723629832267761},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.6414489150047302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205946803092957},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.6093311905860901},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5860505104064941},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5528780221939087},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5322098135948181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47773927450180054},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660104","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/05a48571-1faa-46d2-b4a3-da2d891e1f2e","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/05a48571-1faa-46d2-b4a3-da2d891e1f2e","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Casalino, G, Castellano, G, Kaymak, U & Zaza, G 2021, Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment. in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021., 9660104, Institute of Electrical and Electronics Engineers, pp. 1-8, 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660104","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ricerca.uniba.it:11586/383841","is_oa":false,"landing_page_url":"http://hdl.handle.net/11586/383841","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334079","display_name":"Gruppo Nazionale per il Calcolo Scientifico","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1492468531","https://openalex.org/W1507773449","https://openalex.org/W1871485493","https://openalex.org/W1971163307","https://openalex.org/W1989031186","https://openalex.org/W2019207321","https://openalex.org/W2050473078","https://openalex.org/W2079325629","https://openalex.org/W2110216535","https://openalex.org/W2118979602","https://openalex.org/W2133321814","https://openalex.org/W2148143831","https://openalex.org/W2153495167","https://openalex.org/W2168377732","https://openalex.org/W2171408245","https://openalex.org/W2776897388","https://openalex.org/W2796698500","https://openalex.org/W2802348097","https://openalex.org/W2907245184","https://openalex.org/W2908176906","https://openalex.org/W2910176920","https://openalex.org/W2917204779","https://openalex.org/W3036995535","https://openalex.org/W3097953890","https://openalex.org/W3103558024","https://openalex.org/W3106138432","https://openalex.org/W3113247226","https://openalex.org/W3125603166","https://openalex.org/W3129173377","https://openalex.org/W3130761649","https://openalex.org/W3132752198","https://openalex.org/W3134333597","https://openalex.org/W3140954831","https://openalex.org/W3165569368","https://openalex.org/W3173260855","https://openalex.org/W3173961884","https://openalex.org/W3184754541","https://openalex.org/W3201175582","https://openalex.org/W3202594511","https://openalex.org/W4248178825","https://openalex.org/W6630410791","https://openalex.org/W6643052420","https://openalex.org/W6796766544","https://openalex.org/W6797328451","https://openalex.org/W6808024171"],"related_works":["https://openalex.org/W2050337454","https://openalex.org/W2785395359","https://openalex.org/W1549951490","https://openalex.org/W2247295643","https://openalex.org/W2111426611","https://openalex.org/W1966629635","https://openalex.org/W3159983598","https://openalex.org/W2595285209","https://openalex.org/W2357953609","https://openalex.org/W2367175432"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"algorithms":[2],"have":[3],"been":[4],"proven":[5],"to":[6,20,52,66,94,108],"be":[7,35],"effective":[8,28],"in":[9,29,42,100,124],"supporting":[10],"medical":[11],"decisions.":[12],"However,":[13],"often":[14],"the":[15,54,75,82,89,119,130,137,145,150],"resulting":[16],"models":[17,32,70,97,123,138,146],"are":[18,27,60,64,106,141],"difficult":[19],"understand":[21],"by":[22,38],"clinicians.":[23],"Fuzzy":[24],"Inference":[25],"Systems":[26],"returning":[30,125],"interpretable":[31],"that":[33,63,105,136],"can":[34],"easily":[36],"described":[37],"IF-THEN":[39],"rules":[40,104],"expressed":[41],"natural":[43],"language.":[44],"Yet,":[45],"conventional":[46],"fuzzy":[47,55,68,103],"systems":[48,59,93],"require":[49],"human":[50],"expertise":[51],"design":[53],"rule":[56],"base.":[57],"Neuro-fuzzy":[58],"data-driven":[61],"algorithms,":[62],"able":[65],"learn":[67,95],"rule-based":[69],"from":[71,98],"data,":[72],"thus":[73],"avoiding":[74],"time":[76],"consuming":[77],"task":[78],"of":[79,91,102,121,153],"manually":[80],"designing":[81],"rules.":[83],"In":[84],"this":[85],"work":[86],"we":[87],"propose":[88],"use":[90],"neuro-fuzzy":[92],"predictive":[96],"data":[99],"form":[101],"suitable":[107],"support":[109],"decision":[110],"making":[111],"for":[112],"cardiovascular":[113],"risk":[114],"assessment.":[115],"Our":[116],"results":[117,134],"show":[118],"effectiveness":[120],"these":[122],"accurate":[126,143],"predictions":[127],"while":[128],"preserving":[129],"interpretability.":[131],"Furthermore,":[132],"our":[133],"indicate":[135],"derived":[139],"automatically":[140],"more":[142],"than":[144],"defined":[147],"manually,":[148],"with":[149],"best":[151],"accuracy":[152],"0.91.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}