{"id":"https://openalex.org/W3156487566","doi":"https://doi.org/10.1145/3429446","title":"Heterogeneous Network Approach to Predict Individuals\u2019 Mental Health","display_name":"Heterogeneous Network Approach to Predict Individuals\u2019 Mental Health","publication_year":2021,"publication_date":"2021-04-09","ids":{"openalex":"https://openalex.org/W3156487566","doi":"https://doi.org/10.1145/3429446","mag":"3156487566"},"language":"en","primary_location":{"id":"doi:10.1145/3429446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429446","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5102715364","display_name":"Shikang Liu","orcid":"https://orcid.org/0000-0002-8394-4124"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shikang Liu","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065585826","display_name":"Fatemeh Vahedian","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatemeh Vahedian","raw_affiliation_strings":["University of Notre Dame and University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame and University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I107639228","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020525732","display_name":"David Hachen","orcid":"https://orcid.org/0000-0001-7028-8183"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Hachen","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005504441","display_name":"Omar Li\u017eardo","orcid":"https://orcid.org/0000-0002-5405-3007"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Lizardo","raw_affiliation_strings":["University of California, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019362963","display_name":"Christian Poellabauer","orcid":"https://orcid.org/0000-0002-0599-7941"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Poellabauer","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048928683","display_name":"Aaron Striegel","orcid":"https://orcid.org/0000-0002-3157-2859"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Striegel","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042457126","display_name":"Tijana Milenkovi\u0107","orcid":"https://orcid.org/0000-0002-8023-6907"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tijana Milenkovi\u0107","raw_affiliation_strings":["Eck Institute for Global Health and University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"Eck Institute for Global Health and University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102715364"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":1.2271,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78762718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"2","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T13283","display_name":"Mental Health Research Topics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12488","display_name":"Mental Health via Writing","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9958999752998352,"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/mental-health","display_name":"Mental health","score":0.6355482935905457},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5979965329170227},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.593636155128479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5616104602813721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5282703638076782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4980337619781494},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.492634117603302},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.46236374974250793},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4314730763435364},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3701191246509552},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1937100887298584},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18023398518562317},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1157703697681427}],"concepts":[{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.6355482935905457},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5979965329170227},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.593636155128479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5616104602813721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282703638076782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4980337619781494},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.492634117603302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.46236374974250793},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4314730763435364},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3701191246509552},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1937100887298584},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18023398518562317},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1157703697681427}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3429446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429446","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2016970192","display_name":null,"funder_award_id":"1R01HL117757","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1704280769","https://openalex.org/W1849803292","https://openalex.org/W1892403428","https://openalex.org/W1967113132","https://openalex.org/W1974172867","https://openalex.org/W1974403130","https://openalex.org/W1989924524","https://openalex.org/W1990154291","https://openalex.org/W2001432119","https://openalex.org/W2002420618","https://openalex.org/W2006304124","https://openalex.org/W2010187764","https://openalex.org/W2016112357","https://openalex.org/W2033510679","https://openalex.org/W2038155949","https://openalex.org/W2046038926","https://openalex.org/W2047729491","https://openalex.org/W2055164919","https://openalex.org/W2055683864","https://openalex.org/W2061033650","https://openalex.org/W2061757435","https://openalex.org/W2064754513","https://openalex.org/W2066121889","https://openalex.org/W2071201810","https://openalex.org/W2078443382","https://openalex.org/W2093505519","https://openalex.org/W2096309085","https://openalex.org/W2103919309","https://openalex.org/W2106896302","https://openalex.org/W2118514362","https://openalex.org/W2119321027","https://openalex.org/W2122644021","https://openalex.org/W2129025140","https://openalex.org/W2136997350","https://openalex.org/W2141887944","https://openalex.org/W2142806020","https://openalex.org/W2154851992","https://openalex.org/W2158698691","https://openalex.org/W2168175183","https://openalex.org/W2169002304","https://openalex.org/W2245341025","https://openalex.org/W2296126341","https://openalex.org/W2300872908","https://openalex.org/W2415964388","https://openalex.org/W2498672755","https://openalex.org/W2513928994","https://openalex.org/W2517174433","https://openalex.org/W2520441859","https://openalex.org/W2550483918","https://openalex.org/W2553734262","https://openalex.org/W2560001223","https://openalex.org/W2612872092","https://openalex.org/W2623212788","https://openalex.org/W2684996256","https://openalex.org/W2729451077","https://openalex.org/W2743104969","https://openalex.org/W2786016794","https://openalex.org/W2796245584","https://openalex.org/W2809435521","https://openalex.org/W2889573943","https://openalex.org/W2898875717","https://openalex.org/W2903296288","https://openalex.org/W2911286998","https://openalex.org/W2911456401","https://openalex.org/W2945266622","https://openalex.org/W2963622218","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W3099069192","https://openalex.org/W3102205844","https://openalex.org/W3104097132","https://openalex.org/W4226280022","https://openalex.org/W4293282039"],"related_works":["https://openalex.org/W2129863591","https://openalex.org/W2787993192","https://openalex.org/W1596769710","https://openalex.org/W2358430072","https://openalex.org/W2158269427","https://openalex.org/W2923497059","https://openalex.org/W4381280689","https://openalex.org/W1985838049","https://openalex.org/W3089724416","https://openalex.org/W2847365777"],"abstract_inverted_index":{"Depression":[0],"and":[1,23,74,206,260,267],"anxiety":[2],"are":[3,19,154],"critical":[4],"public":[5],"health":[6,106,159,175,279],"issues":[7],"affecting":[8],"millions":[9],"of":[10,53,84,102,123,172,180,240],"people":[11],"around":[12],"the":[13,51,81,88,100,134,152,155,170,189,220,225,238,241,252,273],"world.":[14],"To":[15,79],"identify":[16],"individuals":[17],"who":[18],"vulnerable":[20],"to":[21,117,132,141,255,275],"depression":[22],"anxiety,":[24],"predictive":[25],"models":[26],"have":[27],"been":[28],"built":[29],"that":[30,58,136,203,237],"typically":[31,130],"utilize":[32],"data":[33,65,70,76,90,223,262],"from":[34,50,77],"one":[35],"source.":[36],"Unlike":[37],"these":[38],"traditional":[39,226],"models,":[40],"in":[41,111,184,188,224,263],"this":[42],"study,":[43],"we":[44,86,98,168,235],"leverage":[45],"a":[46,92,112,120,124,137,145,198,215,232,264],"rich":[47],"heterogeneous":[48,93],"dataset":[49],"University":[52],"Notre":[54],"Dame\u2019s":[55],"NetHealth":[56,89,222],"study":[57,254],"collected":[59],"individuals\u2019":[60,104,156,173,277],"(student":[61],"participants\u2019)":[62],"social":[63],"interaction":[64],"via":[66,71],"smartphones,":[67],"health-related":[68],"behavioral":[69],"wearables":[72],"(Fitbit),":[73],"trait":[75],"surveys.":[78],"integrate":[80,256],"different":[82,157],"types":[83],"information,":[85],"model":[87,169,218],"as":[91,115,176,197,229,231],"information":[94],"network":[95,208],"(HIN).":[96],"Then,":[97],"redefine":[99],"problem":[101,178],"predicting":[103],"mental":[105,158,174,278],"conditions":[107],"(depression":[108],"or":[109,147,270],"anxiety)":[110],"novel":[113],"manner,":[114],"applying":[116],"our":[118,150,185,204],"HIN":[119,265,274],"popular":[121],"paradigm":[122],"recommender":[125],"system":[126],"(RS),":[127],"which":[128],"is":[129,251],"used":[131],"predict":[133,276],"preference":[135],"person":[138],"would":[139],"give":[140],"an":[142],"item":[143],"(e.g.,":[144],"movie":[146],"book).":[148],"In":[149],"case,":[151],"items":[153],"states.":[160],"We":[161,201],"evaluate":[162],"four":[163,191],"state-of-the-art":[164],"RS":[165,205,243,269],"approaches.":[166,249],"Also,":[167,234],"prediction":[171],"another":[177],"type\u2014that":[179],"node":[181,192],"classification":[182],"(NC)":[183],"HIN,":[186],"evaluating":[187],"process":[190],"features":[193],"under":[194],"logistic":[195,216],"regression":[196,217],"proof-of-concept":[199],"classifier.":[200],"find":[202,236],"NC":[207,248,271],"methods":[209],"produce":[210],"more":[211],"accurate":[212],"predictions":[213],"than":[214],"using":[219],"same":[221],"non-network":[227],"fashion":[228],"well":[230],"random-approach.":[233],"best":[239],"considered":[242,247],"approaches":[244],"outperforms":[245],"all":[246],"This":[250],"first":[253],"smartphone,":[257],"wearable":[258],"sensor,":[259],"survey":[261],"manner":[266],"use":[268],"on":[272],"conditions.":[280]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}