{"id":"https://openalex.org/W2933275358","doi":"https://doi.org/10.2478/amcs-2019-0004","title":"Fusion of clinical data: A case study to predict the type of treatment of bone fractures","display_name":"Fusion of clinical data: A case study to predict the type of treatment of bone fractures","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2933275358","doi":"https://doi.org/10.2478/amcs-2019-0004","mag":"2933275358"},"language":"en","primary_location":{"id":"doi:10.2478/amcs-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2019-0004","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/29/1/article-p51.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://content.sciendo.com/downloadpdf/journals/amcs/29/1/article-p51.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005918016","display_name":"Anam Haq","orcid":"https://orcid.org/0000-0003-4088-9265"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Anam Haq","raw_affiliation_strings":["Institute of Computing Science , Poznan University of Technology , Pl. M. Sk\u0142odowskiej-Curie 5, 60-965 Poznan , Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Science , Poznan University of Technology , Pl. M. Sk\u0142odowskiej-Curie 5, 60-965 Poznan , Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040369618","display_name":"Szymon Wilk","orcid":"https://orcid.org/0000-0002-7807-454X"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Szymon Wilk","raw_affiliation_strings":["Institute of Computing Science , Poznan University of Technology , Pl. M. Sk\u0142odowskiej-Curie 5, 60-965 Poznan , Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Science , Poznan University of Technology , Pl. M. Sk\u0142odowskiej-Curie 5, 60-965 Poznan , Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087405585","display_name":"Alberto Abell\u00f3","orcid":"https://orcid.org/0000-0002-3223-2186"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Abell\u00f3","raw_affiliation_strings":["Department of Informatics , Polytechnic University of Catalonia , Campus Nord, Carrer de Jordi Girona, 1\u20133, 08034 Barcelona , Spain"],"affiliations":[{"raw_affiliation_string":"Department of Informatics , Polytechnic University of Catalonia , Campus Nord, Carrer de Jordi Girona, 1\u20133, 08034 Barcelona , Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005918016"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":1.4405,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86931138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"1","first_page":"51","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9947999715805054,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9922000169754028,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9696999788284302,"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":0.5782490968704224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5734297633171082},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5580195784568787},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5387834310531616},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49651747941970825},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4964032769203186},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.46997231245040894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4472365379333496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4427042603492737},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4168532192707062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5782490968704224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5734297633171082},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5580195784568787},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5387834310531616},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49651747941970825},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4964032769203186},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.46997231245040894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4472365379333496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4427042603492737},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4168532192707062},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2478/amcs-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2019-0004","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/29/1/article-p51.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/134366","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/134366","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:af3082b4bd064c4f98cafc6f68aabd8c","is_oa":true,"landing_page_url":"https://doaj.org/article/af3082b4bd064c4f98cafc6f68aabd8c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 1, Pp 51-67 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2478/amcs-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2019-0004","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/29/1/article-p51.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4504651713","display_name":null,"funder_award_id":"IT4BI-DC","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2933275358.pdf","grobid_xml":"https://content.openalex.org/works/W2933275358.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W429766147","https://openalex.org/W611791793","https://openalex.org/W1492041838","https://openalex.org/W1539811621","https://openalex.org/W1909850970","https://openalex.org/W1993122826","https://openalex.org/W2013502943","https://openalex.org/W2019215397","https://openalex.org/W2028470647","https://openalex.org/W2067755424","https://openalex.org/W2068238590","https://openalex.org/W2106989337","https://openalex.org/W2111547563","https://openalex.org/W2112865076","https://openalex.org/W2116825089","https://openalex.org/W2125610378","https://openalex.org/W2133297572","https://openalex.org/W2133990480","https://openalex.org/W2145429609","https://openalex.org/W2468387181","https://openalex.org/W2471037569","https://openalex.org/W2473092406","https://openalex.org/W2481632546","https://openalex.org/W2538264166","https://openalex.org/W2570913926","https://openalex.org/W2591554277","https://openalex.org/W2603446338","https://openalex.org/W2621079698","https://openalex.org/W2753177589","https://openalex.org/W2779399545","https://openalex.org/W2783151797","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3183204001","https://openalex.org/W4327743144","https://openalex.org/W4313320911","https://openalex.org/W2607424049","https://openalex.org/W4245077728","https://openalex.org/W235585396","https://openalex.org/W1493121153","https://openalex.org/W3164494351","https://openalex.org/W2393109664","https://openalex.org/W3010042052"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"prominent":[2],"characteristic":[3],"of":[4,96,121,130,167,175,185],"clinical":[5,19,113],"data":[6,10,54,66,82,122],"is":[7,145],"their":[8],"heterogeneity\u2014such":[9],"include":[11],"structured":[12],"examination":[13],"records":[14],"and":[15,22,25,37,48,58,124],"laboratory":[16],"results,":[17],"unstructured":[18],"notes,":[20],"raw":[21],"tagged":[23],"images,":[24],"genomic":[26],"data.":[27],"This":[28,60],"heterogeneity":[29],"poses":[30],"a":[31,74,188],"formidable":[32],"challenge":[33],"while":[34],"constructing":[35],"diagnostic":[36],"therapeutic":[38,89],"decision":[39,90,138,149,169],"models":[40,84,91,126,144,150,186],"that":[41,85,136,162,182],"are":[42,49],"currently":[43],"based":[44,118,127],"on":[45,119,128],"single":[46],"modalities":[47],"not":[50],"able":[51],"to":[52,111],"use":[53],"in":[55,87],"different":[56,109,177,198],"formats":[57],"structures.":[59],"limitation":[61],"may":[62,195],"be":[63,191],"addressed":[64],"using":[65,156],"fusion":[67,83,116,143],"methods.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,78],"describe":[73],"case":[75],"study":[76],"where":[77],"aimed":[79],"at":[80],"developing":[81],"resulted":[86],"various":[88],"for":[92,101],"predicting":[93],"the":[94,137,157,173,183],"type":[95],"treatment":[97],"(surgical":[98],"vs.":[99],"non-surgical)":[100],"patients":[102],"with":[103],"bone":[104],"fractures.":[105],"We":[106],"considered":[107],"six":[108],"approaches":[110],"integrate":[112],"data:":[114],"one":[115],"model":[117,139],"combination":[120,129],"(COD)":[123],"five":[125],"interpretation":[131],"(COI).":[132],"Experimental":[133],"results":[134,180],"showed":[135],"constructed":[140,168],"following":[141],"COI":[142],"more":[146],"accurate":[147],"than":[148],"employing":[151],"COD.":[152],"Moreover,":[153],"statistical":[154],"analysis":[155],"one-way":[158],"ANOVA":[159],"test":[160],"revealed":[161],"there":[163],"were":[164],"two":[165],"groups":[166],"models,":[170],"each":[171],"containing":[172],"set":[174],"three":[176],"models.":[178],"The":[179],"highlighted":[181],"behavior":[184],"within":[187],"group":[189],"can":[190],"similar,":[192],"although":[193],"it":[194],"vary":[196],"between":[197],"groups.":[199]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}