{"id":"https://openalex.org/W2890688674","doi":"https://doi.org/10.1145/3239438.3239443","title":"Prediction of Loneliness in Older People","display_name":"Prediction of Loneliness in Older People","publication_year":2018,"publication_date":"2018-06-08","ids":{"openalex":"https://openalex.org/W2890688674","doi":"https://doi.org/10.1145/3239438.3239443","mag":"2890688674"},"language":"en","primary_location":{"id":"doi:10.1145/3239438.3239443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239438.3239443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Medical and Health Informatics","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/A5013881706","display_name":"Hui Yang","orcid":"https://orcid.org/0000-0002-3372-4801"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Information School, University of Sheffield, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Information School, University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106078714","display_name":"Peter A. Bath","orcid":"https://orcid.org/0000-0002-6310-7396"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter A. Bath","raw_affiliation_strings":["Information School, University of Sheffield, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Information School, University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013881706"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12215603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T10235","display_name":"Health disparities and outcomes","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12480","display_name":"Health and Wellbeing Research","score":0.963699996471405,"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/T10475","display_name":"Psychological Well-being and Life Satisfaction","score":0.914900004863739,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/loneliness","display_name":"Loneliness","score":0.9857555031776428},{"id":"https://openalex.org/keywords/older-people","display_name":"Older people","score":0.5756543874740601},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5287442207336426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5241061449050903},{"id":"https://openalex.org/keywords/elderly-people","display_name":"Elderly people","score":0.4837327301502228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47032225131988525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4641958475112915},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4327161908149719},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4072772264480591},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.3401118218898773},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.17518487572669983},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1644268035888672}],"concepts":[{"id":"https://openalex.org/C2779998236","wikidata":"https://www.wikidata.org/wiki/Q223270","display_name":"Loneliness","level":2,"score":0.9857555031776428},{"id":"https://openalex.org/C3019887659","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Older people","level":2,"score":0.5756543874740601},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5287442207336426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5241061449050903},{"id":"https://openalex.org/C3018697994","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Elderly people","level":2,"score":0.4837327301502228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47032225131988525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4641958475112915},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4327161908149719},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4072772264480591},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.3401118218898773},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.17518487572669983},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1644268035888672}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3239438.3239443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239438.3239443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Medical and Health Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:136511","is_oa":false,"landing_page_url":"http://eprints.whiterose.ac.uk/136511/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/60d9bc57-b8f9-4724-9449-6c588e3717a4","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/60d9bc57-b8f9-4724-9449-6c588e3717a4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, H & Bath, P A 2018, Prediction of Loneliness in Older People. in Proceedings of the 2nd International Conference on Medical and Health Informatics. pp. 165-172. https://doi.org/10.1145/3239438.3239443","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320286","display_name":"University College London","ror":"https://ror.org/02jx3x895"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2004761428","https://openalex.org/W2012570165","https://openalex.org/W2020489196","https://openalex.org/W2026424619","https://openalex.org/W2046141868","https://openalex.org/W2048168755","https://openalex.org/W2060161657","https://openalex.org/W2095349644","https://openalex.org/W2098126962","https://openalex.org/W2109216246","https://openalex.org/W2109765939","https://openalex.org/W2145151822","https://openalex.org/W2152255219","https://openalex.org/W2162895620","https://openalex.org/W2165243546","https://openalex.org/W2167364360","https://openalex.org/W2167587879","https://openalex.org/W2295598076","https://openalex.org/W2505251955","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W3112311188","https://openalex.org/W2094429148","https://openalex.org/W2960053219","https://openalex.org/W2372535824","https://openalex.org/W3206834203","https://openalex.org/W76589859","https://openalex.org/W4230449594","https://openalex.org/W2332624260","https://openalex.org/W3132730412","https://openalex.org/W2994702099"],"abstract_inverted_index":{"Older":[0],"people":[1,16],"are":[2,45,119],"especially":[3],"vulnerable":[4],"to":[5,30,105],"loneliness":[6,32,135],"that":[7],"has":[8],"become":[9],"a":[10,25,48,73,83,100],"major":[11],"public":[12],"health":[13],"concern":[14],"for":[15],"in":[17,137],"later":[18],"life.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,98],"propose":[24],"machine":[26],"learning":[27],"based":[28],"approach":[29],"predict":[31],"probability":[33],"using":[34],"two":[35],"gradient":[36],"boosting":[37],"algorithms,":[38],"XGBoost":[39],"and":[40,82,132],"LightGBM.":[41],"The":[42,67],"predictive":[43],"models":[44],"built":[46],"on":[47,90],"large":[49],"nationally":[50],"representative":[51],"sample":[52],"from":[53],"the":[54,91,123,138],"English":[55],"Longitudinal":[56],"Study":[57],"of":[58,79,88,103,134],"Ageing":[59],"(ELSA)":[60],"with":[61,72,111,116],"7":[62],"successive":[63],"waves":[64],"(2002":[65],"~2015).":[66],"system":[68],"achieves":[69],"good":[70],"performance":[71],"high":[74],"AUC":[75],"(Area":[76],"Under":[77],"Curve)":[78],"over":[80],"0.88":[81],"low":[84],"LogLoss":[85],"(Logarithmic":[86],"loss)":[87],"0.22":[89],"test":[92],"data":[93],"by":[94,122],"both":[95],"algorithms.":[96],"Moreover,":[97],"investigate":[99],"wide":[101],"range":[102],"variables":[104,118],"identify":[106],"significant":[107],"risk":[108],"factors":[109],"associated":[110,115],"loneliness.":[112],"Specific":[113],"categories":[114],"important":[117],"also":[120],"recognized":[121],"model.":[124],"Such":[125],"information":[126],"will":[127],"further":[128],"enrich":[129],"our":[130],"understanding":[131],"knowledge":[133],"causes":[136],"elder.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
