{"id":"https://openalex.org/W4391741295","doi":"https://doi.org/10.1109/tkde.2024.3364385","title":"Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning","display_name":"Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning","publication_year":2024,"publication_date":"2024-02-12","ids":{"openalex":"https://openalex.org/W4391741295","doi":"https://doi.org/10.1109/tkde.2024.3364385"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3364385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3364385","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5100388617","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0002-2225-9772"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["School of Electrical Engineering and Computer Science &#x0026; Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2225-9772","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science &#x0026; Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351559","display_name":"Zhibin Li","orcid":"https://orcid.org/0000-0002-4226-267X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210101388","display_name":"Health Sciences and Nutrition","ror":"https://ror.org/0152bt112","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210101388","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210142128","display_name":"CSIRO Health and Biosecurity","ror":"https://ror.org/03jh4jw93","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210142128","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhibin Li","raw_affiliation_strings":["Health &#x0026; Biosecurity, CSIRO, QLD, Australia","Commonwealth Scientific and Industrial Research Organisation, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4226-267X","affiliations":[{"raw_affiliation_string":"Health &#x0026; Biosecurity, CSIRO, QLD, Australia","institution_ids":["https://openalex.org/I4210142128"]},{"raw_affiliation_string":"Commonwealth Scientific and Industrial Research Organisation, Australia","institution_ids":["https://openalex.org/I4210101388","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083545460","display_name":"Shekhar S. Chandra","orcid":"https://orcid.org/0000-0001-6544-900X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shekhar S. Chandra","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6544-900X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The University of Queensland, St Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089829042","display_name":"Fatima Nasrallah","orcid":"https://orcid.org/0000-0002-7385-9559"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fatima Nasrallah","raw_affiliation_strings":["Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7385-9559","affiliations":[{"raw_affiliation_string":"Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2658,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87626726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"36","issue":"8","first_page":"4089","last_page":"4100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10416","display_name":"Traumatic Brain Injury Research","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11467","display_name":"Trauma and Emergency Care Studies","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.7616283893585205},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6869236826896667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175612807273865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48562493920326233},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4766170084476471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44286710023880005},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4194043278694153},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4104043245315552},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36608409881591797},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.35120850801467896},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3318818509578705},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.09495887160301208}],"concepts":[{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.7616283893585205},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6869236826896667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175612807273865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48562493920326233},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4766170084476471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44286710023880005},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4194043278694153},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4104043245315552},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36608409881591797},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.35120850801467896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3318818509578705},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.09495887160301208},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3364385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3364385","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329164","display_name":"Motor Accident Insurance Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1974797523","https://openalex.org/W2008183828","https://openalex.org/W2057962863","https://openalex.org/W2070921889","https://openalex.org/W2076796693","https://openalex.org/W2081600009","https://openalex.org/W2295598076","https://openalex.org/W2295739661","https://openalex.org/W2411254506","https://openalex.org/W2509235963","https://openalex.org/W2762839102","https://openalex.org/W2767813783","https://openalex.org/W2920823747","https://openalex.org/W2955273087","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W2975048791","https://openalex.org/W2981728897","https://openalex.org/W2995276890","https://openalex.org/W2996964951","https://openalex.org/W3000680316","https://openalex.org/W3034005492","https://openalex.org/W3094502228","https://openalex.org/W3096372879","https://openalex.org/W3100645984","https://openalex.org/W3133755445","https://openalex.org/W3153682083","https://openalex.org/W3165291398","https://openalex.org/W3172189339","https://openalex.org/W3185858535","https://openalex.org/W4214875575","https://openalex.org/W4283800388","https://openalex.org/W4284708381","https://openalex.org/W4285273009","https://openalex.org/W4385245566","https://openalex.org/W6784333009","https://openalex.org/W6785656117","https://openalex.org/W6840481914"],"related_works":["https://openalex.org/W2326314491","https://openalex.org/W3206692032","https://openalex.org/W1946743557","https://openalex.org/W2724674370","https://openalex.org/W4238132289","https://openalex.org/W4254672817","https://openalex.org/W2968579478","https://openalex.org/W4245348274","https://openalex.org/W4232204633","https://openalex.org/W4200627908"],"abstract_inverted_index":{"Traumatic":[0],"brain":[1],"injury":[2],"(TBI)":[3],"remains":[4],"a":[5,68,97,120,126],"growing":[6],"significant":[7],"public":[8],"health":[9],"problem":[10],"and":[11,39,44,54,114,152,165,169],"prognosis":[12,48,118],"of":[13,21,27,36,107,136,154,163],"outcome":[14],"is":[15,105],"difficult":[16],"due":[17],"to":[18,31,131],"the":[19,25,33,37,51,133,137,144,150,160],"multitude":[20],"factors":[22],"that":[23,104],"underlie":[24],"heterogeneity":[26],"TBI.":[28],"Prognosis":[29],"aims":[30],"forecast":[32],"likely":[34],"development":[35],"disease":[38],"significantly":[40],"affects":[41],"patient's":[42],"recovery":[43],"healthcare.":[45],"Traditionally,":[46],"TBI":[47,81,115],"relies":[49],"on":[50,119,143],"physician's":[52],"insights":[53],"their":[55],"empirical":[56],"knowledge":[57],"which":[58],"makes":[59],"it":[60],"infeasible":[61],"for":[62,80,117,167],"large-scale":[63],"implementation.":[64],"Existing":[65],"methods":[66],"utilize":[67],"single":[69],"modality":[70],"(i.e.,":[71],"either":[72],"clinical":[73,139],"data":[74,88,113],"or":[75],"Computed":[76],"Tomography":[77],"scan":[78],"images)":[79],"prognosis,":[82],"leaving":[83],"crucial":[84],"information":[85,135],"from":[86],"multi-modal":[87,112],"largely":[89],"underexplored.":[90],"To":[91],"address":[92],"this":[93],"concern,":[94],"we":[95,124],"explore":[96],"Multi-modal":[98],"Structure-aware":[99],"Field-wise":[100],"learning":[101],"(MSF)":[102],"method":[103],"capable":[106],"mining":[108],"complex":[109],"correlations":[110],"between":[111],"outcomes":[116],"real-world":[121],"dataset.":[122],"Specifically,":[123],"develop":[125],"High-Level":[127],"Structure-Aware":[128],"(HSA)":[129],"module":[130],"capture":[132],"structure":[134],"multilayered":[138],"data.":[140],"Experimental":[141],"results":[142],"publicly":[145],"available":[146],"TRACK-TBI":[147],"dataset":[148],"demonstrate":[149],"viability":[151],"effectiveness":[153],"our":[155],"proposed":[156],"method,":[157],"by":[158],"achieving":[159],"top-3":[161],"accuracy":[162],"96.07%":[164],"98.13%":[166],"3-month":[168],"6-month":[170],"predictions":[171],"after":[172],"injury,":[173],"respectively.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
