{"id":"https://openalex.org/W4403278588","doi":"https://doi.org/10.1109/mcna63144.2024.10703888","title":"Exploiting Machine Learning for Osteoporosis Risk Prediction and Early Intervention","display_name":"Exploiting Machine Learning for Osteoporosis Risk Prediction and Early Intervention","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4403278588","doi":"https://doi.org/10.1109/mcna63144.2024.10703888"},"language":"en","primary_location":{"id":"doi:10.1109/mcna63144.2024.10703888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcna63144.2024.10703888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Multimedia Computing, Networking and Applications (MCNA)","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/A5009231865","display_name":"Mohammad Jararweh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107649","display_name":"Ministry of Health","ror":"https://ror.org/012qr1y49","country_code":"JO","type":"government","lineage":["https://openalex.org/I4210107649"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Mohammad Jararweh","raw_affiliation_strings":["Ministry of Health,Amman,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Health,Amman,Jordan","institution_ids":["https://openalex.org/I4210107649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029133638","display_name":"Mustafa Daraghmeh","orcid":"https://orcid.org/0000-0003-3597-2275"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mustafa Daraghmeh","raw_affiliation_strings":["Concordia University,Montreal,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074595900","display_name":"Mostafa Z. Ali","orcid":"https://orcid.org/0000-0003-3030-848X"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mostafa Z. Ali","raw_affiliation_strings":["Jordan University of Science and Technology,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology,Irbid,Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009231865"],"corresponding_institution_ids":["https://openalex.org/I4210107649"],"apc_list":null,"apc_paid":null,"fwci":1.3407,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79035395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10071","display_name":"Bone health and osteoporosis research","score":0.9314000010490417,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10071","display_name":"Bone health and osteoporosis research","score":0.9314000010490417,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9101999998092651,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833041310310364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5860724449157715},{"id":"https://openalex.org/keywords/osteoporosis","display_name":"Osteoporosis","score":0.5782674551010132},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.5295568108558655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137084722518921},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20441898703575134},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07335647940635681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833041310310364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5860724449157715},{"id":"https://openalex.org/C2776541429","wikidata":"https://www.wikidata.org/wiki/Q165328","display_name":"Osteoporosis","level":2,"score":0.5782674551010132},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.5295568108558655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137084722518921},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20441898703575134},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07335647940635681},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcna63144.2024.10703888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcna63144.2024.10703888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Multimedia Computing, Networking and Applications (MCNA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2328289749","https://openalex.org/W2508193457","https://openalex.org/W2559614280","https://openalex.org/W2824697752","https://openalex.org/W2888728157","https://openalex.org/W2906012256","https://openalex.org/W2912819142","https://openalex.org/W3181870746","https://openalex.org/W4205655363","https://openalex.org/W4226137391","https://openalex.org/W4238982262","https://openalex.org/W4280551899","https://openalex.org/W4291633130","https://openalex.org/W4293030541","https://openalex.org/W4306146237","https://openalex.org/W4306315451","https://openalex.org/W4308573931","https://openalex.org/W4309865374","https://openalex.org/W4318460174","https://openalex.org/W4366816103","https://openalex.org/W4388870160","https://openalex.org/W4392372590","https://openalex.org/W4393354037","https://openalex.org/W4396775722","https://openalex.org/W6868621332"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Osteoporosis":[0],"is":[1,15],"a":[2,41,109],"significant":[3],"public":[4],"health":[5,48],"concern,":[6],"significantly":[7],"increasing":[8],"the":[9,27,79,93,96,117,131,148],"risk":[10,35,88,125,142],"of":[11,29,83,95,126,133,143],"fractures.":[12],"Early":[13],"intervention":[14,158],"crucial":[16],"for":[17,32,86,159],"preventing":[18],"fractures":[19],"and":[20,50,81,155],"improving":[21],"patient":[22],"outcomes.":[23],"This":[24,72],"study":[25],"investigates":[26],"application":[28],"machine":[30,134],"learning":[31,135],"predicting":[33,69],"osteoporosis":[34,70,87,160],"in":[36,68,112,147],"clinical":[37,43,153],"settings.":[38],"We":[39],"utilize":[40],"comprehensive":[42],"dataset":[44],"that":[45],"includes":[46],"demographics,":[47],"metrics,":[49],"bone":[51],"density":[52],"measurements.":[53],"Various":[54],"binary":[55],"classification":[56],"models,":[57],"including":[58],"multiple":[59],"ensemble":[60],"methods,":[61],"are":[62],"compared":[63],"to":[64,120,136,151],"evaluate":[65],"their":[66],"performance":[67],"risk.":[71],"comparative":[73],"analysis":[74],"provides":[75],"valuable":[76],"insights":[77],"into":[78],"strengths":[80],"weaknesses":[82],"each":[84],"model":[85],"prediction.":[89],"Also,":[90],"we":[91],"explore":[92],"impact":[94],"Synthetic":[97],"Minority":[98],"Oversampling":[99],"Technique":[100],"(SMOTE)":[101],"on":[102],"prediction":[103],"accuracy.":[104],"SMOTE":[105],"addresses":[106],"class":[107],"imbalance,":[108],"common":[110],"challenge":[111],"healthcare":[113],"data,":[114],"potentially":[115],"enhancing":[116],"model\u2019s":[118],"ability":[119],"identify":[121,138],"individuals":[122,139],"at":[123,140],"high":[124,141],"osteoporosis.":[127],"Our":[128],"findings":[129],"underscore":[130],"potential":[132],"accurately":[137],"osteoporosis,":[144],"instilling":[145],"confidence":[146],"technology\u2019s":[149],"capabilities":[150],"improve":[152],"decision-making":[154],"facilitate":[156],"early":[157],"patients.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}