{"id":"https://openalex.org/W2855821618","doi":"https://doi.org/10.1145/3213586.3226193","title":"Towards a Fuzzy Rule-based Systems Approach for Adaptive Interventions in Menopause Self-care","display_name":"Towards a Fuzzy Rule-based Systems Approach for Adaptive Interventions in Menopause Self-care","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2855821618","doi":"https://doi.org/10.1145/3213586.3226193","mag":"2855821618"},"language":"en","primary_location":{"id":"doi:10.1145/3213586.3226193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3213586.3226193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003648781","display_name":"Amaury Trujillo","orcid":"https://orcid.org/0000-0001-6227-0944"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Amaury Trujillo","raw_affiliation_strings":["IIT-CNR & Universit\u00e0 di Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT-CNR & Universit\u00e0 di Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I4210130157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021655345","display_name":"Maria Claudia Buzzi","orcid":"https://orcid.org/0000-0001-7818-0601"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Claudia Buzzi","raw_affiliation_strings":["IIT-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.940500020980835,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T11542","display_name":"Behavioral Health and Interventions","score":0.9336000084877014,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.6962637305259705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.592031717300415},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.538128137588501},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.49843406677246094},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49324721097946167},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4749446213245392},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4728318154811859},{"id":"https://openalex.org/keywords/menopause","display_name":"Menopause","score":0.4478533864021301},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4260825514793396},{"id":"https://openalex.org/keywords/mhealth","display_name":"mHealth","score":0.4110536277294159},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3381601572036743},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3360729217529297},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3250042200088501},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.3219654858112335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3120671510696411},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29512259364128113},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26502490043640137},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.20032626390457153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10716527700424194}],"concepts":[{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.6962637305259705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.592031717300415},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.538128137588501},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.49843406677246094},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49324721097946167},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4749446213245392},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4728318154811859},{"id":"https://openalex.org/C2778562196","wikidata":"https://www.wikidata.org/wiki/Q177708","display_name":"Menopause","level":2,"score":0.4478533864021301},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4260825514793396},{"id":"https://openalex.org/C2779363104","wikidata":"https://www.wikidata.org/wiki/Q17069079","display_name":"mHealth","level":3,"score":0.4110536277294159},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3381601572036743},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3360729217529297},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3250042200088501},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3219654858112335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3120671510696411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29512259364128113},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26502490043640137},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.20032626390457153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10716527700424194},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3213586.3226193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3213586.3226193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4399999976158142,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G2364901608","display_name":null,"funder_award_id":"CUP CIPE D18C15000130008","funder_id":"https://openalex.org/F4320326084","funder_display_name":"Regione Toscana"}],"funders":[{"id":"https://openalex.org/F4320326084","display_name":"Regione Toscana","ror":null},{"id":"https://openalex.org/F4320331528","display_name":"Ministero dell'Universit\u00e0 e della Ricerca","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1528555758","https://openalex.org/W1550280742","https://openalex.org/W1779897838","https://openalex.org/W1992712679","https://openalex.org/W2030535407","https://openalex.org/W2035228137","https://openalex.org/W2081629500","https://openalex.org/W2107986348","https://openalex.org/W2112786892","https://openalex.org/W2114304147","https://openalex.org/W2123420688","https://openalex.org/W2141344236","https://openalex.org/W2141540530","https://openalex.org/W2157041604","https://openalex.org/W2197039943","https://openalex.org/W2314333747","https://openalex.org/W2412754601","https://openalex.org/W2497963138","https://openalex.org/W2576300312","https://openalex.org/W2613845253","https://openalex.org/W4248129781","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3176210869","https://openalex.org/W3157260717","https://openalex.org/W2890551606","https://openalex.org/W2806578822","https://openalex.org/W1989929201","https://openalex.org/W2963498005","https://openalex.org/W4210372979","https://openalex.org/W4254922057","https://openalex.org/W4318480255","https://openalex.org/W2083536291"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,53,88,122],"novel":[3],"approach":[4,131,162],"in":[5,14,64,121,163,169,185],"the":[6,22,29,42,73,92,135,142,164],"design":[7,89],"of":[8,31,44,72,95,137,144,166],"self-care":[9,187],"applications":[10,188],"aimed":[11],"at":[12],"women":[13,68],"pre-menopause":[15],"and":[16,36,59,97,108,117,141,148,156],"menopause,":[17],"which":[18,170],"is":[19,50],"based":[20],"on":[21],"use":[23],"fuzzy":[24,145],"rule-based":[25,93],"systems":[26],"(FRBS)":[27],"for":[28,91,177],"description":[30],"women's":[32],"health":[33,74,106,138],"status,":[34],"behavior,":[35],"personality":[37],"traits,":[38],"as":[39,41,66],"well":[40],"provision":[43,94],"adaptive":[45,85],"interventions.":[46],"Our":[47],"main":[48],"goal":[49],"to":[51,104,119,126,133,150],"develop":[52],"personalized":[54,96],"solution":[55],"that":[56],"informs":[57],"users":[58],"promotes":[60],"healthy":[61],"behavioral":[62],"changes":[63],"them,":[65],"many":[67],"are":[69,114],"not":[70],"conscious":[71],"consequences":[75],"caused":[76],"by":[77],"menopause.":[78],"To":[79],"this":[80,161],"end,":[81],"we":[82,159],"follow":[83],"just-in-time":[84],"interventions":[86,99],"(JITAI),":[87],"framework":[90],"on-demand":[98],"through":[100],"mobile":[101],"applications,":[102],"according":[103],"user's":[105],"status":[107],"behavior.":[109],"However,":[110],"these":[111,128],"health-related":[112],"concepts":[113,155],"usually":[115],"vague":[116,154],"difficult":[118],"formalize":[120],"well-constrained":[123],"manner.":[124],"Therefore,":[125],"overcome":[127],"issues,":[129],"our":[130],"seeks":[132],"leverage":[134],"knowledge":[136],"professional":[139],"experts":[140],"capacity":[143],"logic":[146],"modelling":[147],"inference":[149],"formally":[151],"define":[152],"such":[153],"rules.":[157],"Although":[158],"discuss":[160],"context":[165],"menopause":[167],"self-care,":[168],"prior":[171],"user":[172],"data":[173],"may":[174],"be":[175,183],"insufficient":[176],"alternative":[178],"techniques,":[179],"it":[180],"could":[181],"also":[182],"applied":[184],"other":[186],"facing":[189],"similar":[190],"challenges.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}