{"id":"https://openalex.org/W3004849421","doi":"https://doi.org/10.1109/bibm47256.2019.8983109","title":"Multi-path convolutional neural network for glioblastoma survival group prediction with point mutations and demographic features","display_name":"Multi-path convolutional neural network for glioblastoma survival group prediction with point mutations and demographic features","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004849421","doi":"https://doi.org/10.1109/bibm47256.2019.8983109","mag":"3004849421"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5091544595","display_name":"Abdulrhman Aljouie","orcid":"https://orcid.org/0000-0002-5592-2462"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdulrhman Aljouie","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Computer Science,Newark,New Jersey","Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Computer Science,Newark,New Jersey","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087990990","display_name":"Usman Roshan","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Usman Roshan","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Computer Science,Newark,New Jersey","Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Computer Science,Newark,New Jersey","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091544595"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.26788717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1274","last_page":"1279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8069625496864319},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6954362392425537},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6248921155929565},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6150388717651367},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.568142294883728},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5546436309814453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033320784568787},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.4917779266834259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4716709554195404},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.41858410835266113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36104437708854675},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2533033788204193},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10822191834449768},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.09880661964416504},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.08505842089653015}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8069625496864319},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6954362392425537},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6248921155929565},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6150388717651367},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.568142294883728},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5546436309814453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033320784568787},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.4917779266834259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4716709554195404},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.41858410835266113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36104437708854675},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2533033788204193},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10822191834449768},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09880661964416504},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.08505842089653015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1919257374","https://openalex.org/W2101234009","https://openalex.org/W2119180969","https://openalex.org/W2119821739","https://openalex.org/W2126817554","https://openalex.org/W2132866748","https://openalex.org/W2221563957","https://openalex.org/W2264796807","https://openalex.org/W2280372453","https://openalex.org/W2289535596","https://openalex.org/W2344943496","https://openalex.org/W2400500021","https://openalex.org/W2796853196","https://openalex.org/W2883584378","https://openalex.org/W2898037167","https://openalex.org/W2905306861","https://openalex.org/W2911964244","https://openalex.org/W2948460702","https://openalex.org/W2954732373","https://openalex.org/W2956891907","https://openalex.org/W2970093160","https://openalex.org/W3098080070","https://openalex.org/W4239510810","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4386295066","https://openalex.org/W4289492418","https://openalex.org/W2892606308","https://openalex.org/W4225647658","https://openalex.org/W3161669023","https://openalex.org/W2574179923","https://openalex.org/W1484160485","https://openalex.org/W3107198815","https://openalex.org/W2804162248","https://openalex.org/W4294564511"],"abstract_inverted_index":{"Glioblastoma":[0],"multiforme":[1],"(GBM)":[2],"is":[3,20,24,34,231,250],"the":[4,43,106,120,133,137,151,167,173,196,227,241],"most":[5],"common":[6],"and":[7,64,78,97,112,131,140,160,184,189,202,215,254],"aggressive":[8],"brain":[9],"cancer":[10],"with":[11,70,91,128,177,233],"a":[12,25,52,71,92,109,126],"median":[13],"survival":[14,31,48,68,175],"rate":[15],"of":[16,29,105,158,164],"15":[17],"months.":[18],"It":[19],"well-established":[21],"that":[22,37,58],"age":[23,62],"strong":[26],"independent":[27],"predictor":[28],"GBM":[30,47,76],"outcome.":[32],"There":[33],"accumulating":[35],"evidence":[36],"single":[38],"nucleotide":[39],"polymorphisms":[40],"(SNPs)":[41],"in":[42,119,150,199,226,240],"IDH1":[44],"gene":[45],"influences":[46],"time.":[49],"We":[50,74,86,100,123,194],"propose":[51],"new":[53],"multi-path":[54,145],"convolutional":[55],"neural":[56,257],"network":[57],"combines":[59],"SNPs,":[60],"age,":[61],"groups,":[63],"gender":[65],"to":[66,155],"predict":[67,132],"groups":[69,176],"one-year":[72],"threshold.":[73],"obtained":[75],"SNP":[77,139,201,223],"demographic":[79,141,203,246],"data":[80,204,207,224,229,243],"from":[81],"The":[82,218,237],"Cancer":[83],"Genome":[84],"Atlas.":[85],"compare":[87],"our":[88,143,170,211,234,255],"multipath":[89],"CNN":[90],"support":[93],"vector":[94],"machine":[95],"(SVM)":[96],"random":[98,161,185,216],"forest.":[99,217],"randomly":[101],"held":[102],"out":[103],"10%":[104],"samples":[107],"as":[108],"test":[110,134,152,228,242],"set,":[111],"employed":[113],"10-fold":[114,168],"cross-validation":[115],"for":[116,210,222,245],"hyperparameter":[117],"tuning":[118],"remaining":[121],"90%.":[122],"then":[124],"fit":[125],"model":[127,146,171],"optimal":[129],"hyperparameters":[130],"set.":[135],"In":[136,166],"combined":[138,200],"features,":[142],"proposed":[144,212],"achieved":[147,220],"67%":[148],"accuracy":[149,157,163,181,221,239],"set":[153,230,244],"compared":[154],"SVM":[156,183,253],"60%":[159,232,251],"forest":[162,186],"47%.":[165],"cross-validation,":[169],"predicted":[172],"two":[174],"63%":[178],"mean":[179,191],"balanced":[180,192],"while":[182],"attained":[187,249],"56%":[188],"49%":[190],"accuracy.":[193],"evaluated":[195],"predictive":[197],"ability":[198],"versus":[205],"each":[206],"source":[208],"alone":[209,248],"CNN,":[213],"SVM,":[214],"highest":[219],"only":[225],"single-path":[235,256],"CNN.":[236],"top":[238],"features":[247],"by":[252],"network.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
