{"id":"https://openalex.org/W4390971242","doi":"https://doi.org/10.1109/bibm58861.2023.10385873","title":"Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer\u2019s Disease Progression Prediction","display_name":"Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer\u2019s Disease Progression Prediction","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971242","doi":"https://doi.org/10.1109/bibm58861.2023.10385873"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385873","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/A5087223934","display_name":"Menghui Zhou","orcid":"https://orcid.org/0000-0001-8973-418X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Menghui Zhou","raw_affiliation_strings":["The University of Sheffield,Department of Computer Science,Sheffield,UK","Department of Computer Science, The University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,Department of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101451965","display_name":"Xulong Wang","orcid":"https://orcid.org/0000-0002-7385-4926"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xulong Wang","raw_affiliation_strings":["The University of Sheffield,Department of Computer Science,Sheffield,UK","Department of Computer Science, The University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,Department of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023635664","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-7377-1194"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["The University of Sheffield,Department of Computer Science,Sheffield,UK","Department of Computer Science, The University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,Department of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392684","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0003-1266-7905"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Liu","raw_affiliation_strings":["Imperial College London,Department of Chemical Engineering,London,UK","Department of Chemical Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Chemical Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Chemical Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389883","display_name":"Kang Liu","orcid":"https://orcid.org/0000-0001-7929-6534"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kang Liu","raw_affiliation_strings":["The University of Sheffield,Department of Computer Science,Sheffield,UK","Department of Computer Science, The University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,Department of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008276130","display_name":"Po Yang","orcid":"https://orcid.org/0000-0002-8553-7127"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Po Yang","raw_affiliation_strings":["The University of Sheffield,Department of Computer Science,Sheffield,UK","Department of Computer Science, The University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,Department of Computer Science,Sheffield,UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087223934"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.4604,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66788902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3265","last_page":"3272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9610000252723694,"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/T14144","display_name":"Neurological Disease Mechanisms and Treatments","score":0.958299994468689,"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/interpretability","display_name":"Interpretability","score":0.884545087814331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7372167110443115},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6251513957977295},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6206667423248291},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6148631572723389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576227903366089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.551911473274231},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4950079321861267},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4586714208126068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2523919343948364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2206135392189026}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.884545087814331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372167110443115},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6251513957977295},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6206667423248291},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6148631572723389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576227903366089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.551911473274231},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4950079321861267},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4586714208126068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2523919343948364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2206135392189026},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385873","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":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1987371344","https://openalex.org/W1998396170","https://openalex.org/W2001477615","https://openalex.org/W2031250362","https://openalex.org/W2743780043","https://openalex.org/W2752287204","https://openalex.org/W2786432334","https://openalex.org/W2788043421","https://openalex.org/W2888918486","https://openalex.org/W2906155095","https://openalex.org/W2909627766","https://openalex.org/W2953077209","https://openalex.org/W2999318011","https://openalex.org/W3034360394","https://openalex.org/W3044710518","https://openalex.org/W3102963682","https://openalex.org/W3136481290","https://openalex.org/W3141595720","https://openalex.org/W3166327729","https://openalex.org/W3174654335","https://openalex.org/W3215399882","https://openalex.org/W4220825176","https://openalex.org/W4250589301","https://openalex.org/W4306317074","https://openalex.org/W4376137858","https://openalex.org/W4382317568","https://openalex.org/W4387412063"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2045408812","https://openalex.org/W2888033806","https://openalex.org/W2951720331"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"disease":[1],"(AD),":[2],"the":[3,9,22,43,65,82,97,127,133,141,147,158,163,167,176,191,206,214,222,226],"most":[4],"prevalent":[5],"dementia,":[6],"gradually":[7],"reduces":[8],"cognitive":[10],"abilities":[11],"of":[12,27,45,129,157,180,209,225],"patients":[13],"while":[14],"also":[15],"posing":[16],"a":[17,52,74,103],"significant":[18],"financial":[19],"burden":[20],"on":[21],"healthcare":[23],"system.":[24],"A":[25],"variety":[26],"multi-task":[28,198],"learning":[29,81],"methods":[30],"have":[31,184],"recently":[32],"been":[33],"proposed":[34,196],"to":[35,62,101,119,154],"identify":[36],"potential":[37],"MRI-related":[38],"biomarkers":[39,121],"and":[40,60,79,85,111,135,144,190,220],"accurately":[41],"predict":[42],"progression":[44,128],"AD.":[46,130],"These":[47],"methods,":[48],"however,":[49],"all":[50,109],"use":[51,96],"predefined":[53],"task":[54],"relation":[55,84,92,218],"structure":[56],"that":[57,122,146],"is":[58,172,233],"rigid":[59],"insufficient":[61],"adequately":[63],"capture":[64],"intricate":[66],"temporal":[67,83,217,223],"relations":[68],"among":[69],"tasks.":[70],"Instead,":[71],"we":[72,139,212],"propose":[73],"novel":[75,197],"mechanism":[76],"for":[77,108,114,125],"directly":[78],"automatically":[80,215],"constructing":[86],"it":[87],"as":[88],"an":[89],"Automatic":[90],"Temporal":[91],"Graph":[93],"(AutoTG).":[94],"We":[95,183],"sparse":[98],"group":[99],"Lasso":[100],"select":[102],"universal":[104],"MRI":[105,228],"feature":[106],"set":[107],"tasks":[110,116],"particular":[112],"sets":[113],"various":[115],"in":[117],"order":[118],"find":[120],"are":[123,152],"useful":[124],"predicting":[126],"To":[131,161,204],"solve":[132,162],"biconvex":[134],"nonsmooth":[136],"objective":[137],"function,":[138],"adopt":[140],"alternating":[142],"optimization":[143],"show":[145],"two":[148,164,186],"related":[149],"suboptimization":[150],"problems":[151,165],"amenable":[153],"closed-form":[155],"solution":[156],"proximal":[159,169],"operator.":[160],"efficiently,":[166],"accelerated":[168],"gradient":[170],"method":[171],"used,":[173],"which":[174],"has":[175],"fastest":[177],"convergence":[178],"rate":[179],"first-order":[181],"method.":[182],"preprocessed":[185],"latest":[187],"AD":[188],"datasets,":[189],"experimental":[192],"results":[193],"verify":[194],"our":[195,210],"approach":[199],"outperforms":[200],"several":[201],"baseline":[202],"methods.":[203],"demonstrate":[205],"high":[207],"interpretability":[208],"approach,":[211],"visualize":[213],"learned":[216],"graph":[219],"investigate":[221],"patterns":[224],"important":[227],"features.":[229],"The":[230],"implementation":[231],"source":[232],"at":[234],"https://github.com/menghui-zhou/MAGPP.":[235]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
