{"id":"https://openalex.org/W4390971323","doi":"https://doi.org/10.1109/bibm58861.2023.10385917","title":"Deep learning boosted amyloidosis diagnosis","display_name":"Deep learning boosted amyloidosis diagnosis","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971323","doi":"https://doi.org/10.1109/bibm58861.2023.10385917"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385917","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5116548940","display_name":"Shaokai Wang","orcid":"https://orcid.org/0009-0003-2741-7914"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shaokai Wang","raw_affiliation_strings":["University of Waterloo,Rapid Novor Inc,Waterloo,Canada","Rapid Novor Inc, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Rapid Novor Inc,Waterloo,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Rapid Novor Inc, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030291450","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-7549-2658"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["University of Waterloo,Rapid Novor Inc,Waterloo,Canada","Rapid Novor Inc, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Rapid Novor Inc,Waterloo,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Rapid Novor Inc, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5116548940"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.159,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6119482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11305","display_name":"Amyloidosis: Diagnosis, Treatment, Outcomes","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11305","display_name":"Amyloidosis: Diagnosis, Treatment, Outcomes","score":0.9994000196456909,"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/T10086","display_name":"Alzheimer's disease research and treatments","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9398000240325928,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7827907800674438},{"id":"https://openalex.org/keywords/amyloidosis","display_name":"Amyloidosis","score":0.7482945919036865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731600284576416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186857223510742},{"id":"https://openalex.org/keywords/al-amyloidosis","display_name":"AL amyloidosis","score":0.5428261160850525},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5356575846672058},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4869450330734253},{"id":"https://openalex.org/keywords/amyloid-fibril","display_name":"Amyloid fibril","score":0.4717750549316406},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4553362727165222},{"id":"https://openalex.org/keywords/immunoglobulin-light-chain","display_name":"Immunoglobulin light chain","score":0.44202110171318054},{"id":"https://openalex.org/keywords/amyloid","display_name":"Amyloid (mycology)","score":0.42695754766464233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3812742531299591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3645815849304199},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.18087151646614075},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1446191668510437},{"id":"https://openalex.org/keywords/amyloid-\u03b2","display_name":"Amyloid \u03b2","score":0.0994076132774353},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08959650993347168},{"id":"https://openalex.org/keywords/antibody","display_name":"Antibody","score":0.07516399025917053},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06433022022247314}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7827907800674438},{"id":"https://openalex.org/C2779951007","wikidata":"https://www.wikidata.org/wiki/Q816798","display_name":"Amyloidosis","level":2,"score":0.7482945919036865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731600284576416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186857223510742},{"id":"https://openalex.org/C2779551797","wikidata":"https://www.wikidata.org/wiki/Q4652470","display_name":"AL amyloidosis","level":4,"score":0.5428261160850525},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5356575846672058},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4869450330734253},{"id":"https://openalex.org/C2994168385","wikidata":"https://www.wikidata.org/wiki/Q6740853","display_name":"Amyloid fibril","level":4,"score":0.4717750549316406},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4553362727165222},{"id":"https://openalex.org/C36394416","wikidata":"https://www.wikidata.org/wiki/Q949267","display_name":"Immunoglobulin light chain","level":3,"score":0.44202110171318054},{"id":"https://openalex.org/C2777633098","wikidata":"https://www.wikidata.org/wiki/Q2736051","display_name":"Amyloid (mycology)","level":2,"score":0.42695754766464233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3812742531299591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3645815849304199},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.18087151646614075},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1446191668510437},{"id":"https://openalex.org/C3019447875","wikidata":"https://www.wikidata.org/wiki/Q417667","display_name":"Amyloid \u03b2","level":3,"score":0.0994076132774353},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08959650993347168},{"id":"https://openalex.org/C159654299","wikidata":"https://www.wikidata.org/wiki/Q79460","display_name":"Antibody","level":2,"score":0.07516399025917053},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06433022022247314},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385917","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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":28,"referenced_works":["https://openalex.org/W1985806658","https://openalex.org/W2043876754","https://openalex.org/W2080831965","https://openalex.org/W2093464694","https://openalex.org/W2133425057","https://openalex.org/W2141057671","https://openalex.org/W2157873167","https://openalex.org/W2608753673","https://openalex.org/W2761583818","https://openalex.org/W2883577455","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W2966138751","https://openalex.org/W3023704686","https://openalex.org/W3038873882","https://openalex.org/W3090580446","https://openalex.org/W3108155992","https://openalex.org/W3171096554","https://openalex.org/W3175924832","https://openalex.org/W4200635416","https://openalex.org/W4280625391","https://openalex.org/W4283068487","https://openalex.org/W4365150919","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6805005235"],"related_works":["https://openalex.org/W2766555623","https://openalex.org/W4283011468","https://openalex.org/W2341969299","https://openalex.org/W4240327756","https://openalex.org/W2916010986","https://openalex.org/W4394876284","https://openalex.org/W2334747311","https://openalex.org/W4211003773","https://openalex.org/W4294286266","https://openalex.org/W2409486739"],"abstract_inverted_index":{"Amyloid":[0],"light":[1,14,81],"chain":[2,82],"(AL)":[3],"amyloidosis":[4,24,41,70,90],"is":[5,25,52,85,131],"a":[6,62,76],"disorder":[7],"characterized":[8],"by":[9],"the":[10,103,118,121],"deposition":[11],"of":[12,22,30,107,120],"antibody":[13],"chains":[15],"in":[16],"organs.":[17],"Early":[18],"and":[19,49,84,109],"accurate":[20],"diagnosis":[21],"AL":[23,40,69,89],"crucial":[26],"for":[27,38],"timely":[28],"implementation":[29],"appropriate":[31],"treatment":[32],"strategies.":[33],"However,":[34],"existing":[35],"computational":[36],"methods":[37],"predicting":[39],"often":[42],"heavily":[43],"rely":[44],"on":[45],"manually":[46],"extracted":[47],"features":[48,83],"their":[50],"performance":[51],"less":[53],"than":[54],"satisfactory.":[55],"In":[56],"this":[57],"study,":[58],"we":[59],"introduce":[60],"DeepAL,":[61],"deep":[63],"learning-based":[64],"approach":[65],"designed":[66],"to":[67,79],"predict":[68],"with":[71,88,100],"high":[72],"precision.":[73],"DeepAL":[74,96],"utilizes":[75],"pre-trained":[77,122],"model":[78,123],"extract":[80],"then":[86],"fine-tuned":[87],"knowledge.":[91],"On":[92],"two":[93],"benchmark":[94],"datasets,":[95],"achieved":[97],"impressive":[98],"results":[99],"area":[101],"under":[102],"ROC":[104],"curves":[105],"(AUCs)":[106],"0.9072":[108],"0.8919,":[110],"outperforming":[111],"previous":[112],"approaches.":[113],"Our":[114],"ablation":[115],"study":[116],"shows":[117],"use":[119],"can":[124],"significantly":[125],"improve":[126],"identification":[127],"performance.":[128],"The":[129],"code":[130],"available":[132],"at":[133],"https://github.com/waterlooms/DeepAL.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
