{"id":"https://openalex.org/W3192003496","doi":"https://doi.org/10.1109/camp51653.2021.9498061","title":"Towards Automated Detection of Contradictory Research Claims in Medical Literature Using Deep Learning Approach","display_name":"Towards Automated Detection of Contradictory Research Claims in Medical Literature Using Deep Learning Approach","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3192003496","doi":"https://doi.org/10.1109/camp51653.2021.9498061","mag":"3192003496"},"language":"en","primary_location":{"id":"doi:10.1109/camp51653.2021.9498061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camp51653.2021.9498061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP)","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/A5022128165","display_name":"Fatin Syafiqah Yazi","orcid":null},"institutions":[{"id":"https://openalex.org/I96413208","display_name":"Swinburne University of Technology Sarawak Campus","ror":"https://ror.org/014cjmc76","country_code":"MY","type":"education","lineage":["https://openalex.org/I57093077","https://openalex.org/I96413208"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Fatin Syafiqah Yazi","raw_affiliation_strings":["Swinburne University of Technology Sarawak, Kuching, Malaysia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology Sarawak, Kuching, Malaysia","institution_ids":["https://openalex.org/I96413208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036655436","display_name":"Wan-Tze Vong","orcid":null},"institutions":[{"id":"https://openalex.org/I96413208","display_name":"Swinburne University of Technology Sarawak Campus","ror":"https://ror.org/014cjmc76","country_code":"MY","type":"education","lineage":["https://openalex.org/I57093077","https://openalex.org/I96413208"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wan-Tze Vong","raw_affiliation_strings":["Swinburne University of Technology Sarawak, Kuching, Malaysia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology Sarawak, Kuching, Malaysia","institution_ids":["https://openalex.org/I96413208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069025501","display_name":"Valliappan Raman","orcid":"https://orcid.org/0000-0002-9363-2319"},"institutions":[{"id":"https://openalex.org/I96413208","display_name":"Swinburne University of Technology Sarawak Campus","ror":"https://ror.org/014cjmc76","country_code":"MY","type":"education","lineage":["https://openalex.org/I57093077","https://openalex.org/I96413208"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Valliappan Raman","raw_affiliation_strings":["Swinburne University of Technology Sarawak, Kuching, Malaysia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology Sarawak, Kuching, Malaysia","institution_ids":["https://openalex.org/I96413208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025080623","display_name":"Patrick Then","orcid":"https://orcid.org/0000-0002-6079-2527"},"institutions":[{"id":"https://openalex.org/I96413208","display_name":"Swinburne University of Technology Sarawak Campus","ror":"https://ror.org/014cjmc76","country_code":"MY","type":"education","lineage":["https://openalex.org/I57093077","https://openalex.org/I96413208"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Patrick Hang Hui Then","raw_affiliation_strings":["Swinburne University of Technology Sarawak, Kuching, Malaysia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology Sarawak, Kuching, Malaysia","institution_ids":["https://openalex.org/I96413208"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069088450","display_name":"Mukulraj J Lunia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mukulraj J Lunia","raw_affiliation_strings":["Sri Krishna College of Engineering and Technology, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Sri Krishna College of Engineering and Technology, Coimbatore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022128165"],"corresponding_institution_ids":["https://openalex.org/I96413208"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72565161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983000159263611,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9797999858856201,"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/assertion","display_name":"Assertion","score":0.9591177701950073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6964226365089417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6799335479736328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6068450212478638},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5792521238327026},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5540227890014648},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5218376517295837},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.5174742341041565},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.4688701927661896},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42820748686790466},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3806883692741394},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3650781512260437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29339975118637085},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.244032621383667},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.14036202430725098},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1339598298072815},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.08044588565826416},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07912591099739075}],"concepts":[{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.9591177701950073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6964226365089417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6799335479736328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6068450212478638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5792521238327026},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5540227890014648},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5218376517295837},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.5174742341041565},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.4688701927661896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42820748686790466},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3806883692741394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3650781512260437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29339975118637085},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.244032621383667},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.14036202430725098},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1339598298072815},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.08044588565826416},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07912591099739075},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camp51653.2021.9498061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camp51653.2021.9498061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W81005541","https://openalex.org/W143623734","https://openalex.org/W1561155402","https://openalex.org/W1572319397","https://openalex.org/W1940872118","https://openalex.org/W1993913560","https://openalex.org/W2040125044","https://openalex.org/W2064675550","https://openalex.org/W2082609047","https://openalex.org/W2087519920","https://openalex.org/W2105085055","https://openalex.org/W2111966955","https://openalex.org/W2119821739","https://openalex.org/W2130359236","https://openalex.org/W2147276130","https://openalex.org/W2161566871","https://openalex.org/W2166888237","https://openalex.org/W2250539671","https://openalex.org/W2404278933","https://openalex.org/W2415204069","https://openalex.org/W2418587547","https://openalex.org/W2574059908","https://openalex.org/W2574669284","https://openalex.org/W2751833118","https://openalex.org/W2789326890","https://openalex.org/W2794557536","https://openalex.org/W2863750952","https://openalex.org/W2896457183","https://openalex.org/W2925863688","https://openalex.org/W2951877047","https://openalex.org/W2963341956","https://openalex.org/W2963716420","https://openalex.org/W2963918774","https://openalex.org/W2970074717","https://openalex.org/W2970771982","https://openalex.org/W2982424689","https://openalex.org/W3041397497","https://openalex.org/W3107048485","https://openalex.org/W4239510810","https://openalex.org/W4255167476","https://openalex.org/W4296976415","https://openalex.org/W6603304050","https://openalex.org/W6633430806","https://openalex.org/W6640362995","https://openalex.org/W6713560098","https://openalex.org/W6715743342","https://openalex.org/W6732616939","https://openalex.org/W6748720693","https://openalex.org/W6749879876","https://openalex.org/W6755207826","https://openalex.org/W6761260114","https://openalex.org/W6767306326","https://openalex.org/W6780732985","https://openalex.org/W6786480617","https://openalex.org/W7061741590"],"related_works":["https://openalex.org/W1498103021","https://openalex.org/W2035655557","https://openalex.org/W4230849338","https://openalex.org/W4295166216","https://openalex.org/W2177044681","https://openalex.org/W1968067090","https://openalex.org/W2090313512","https://openalex.org/W2345942070","https://openalex.org/W2141398161","https://openalex.org/W2016410697"],"abstract_inverted_index":{"In":[0,81],"Evidence-Based":[1],"Medicine":[2],"(EBM),":[3],"medical":[4,79,99],"literature":[5],"is":[6,70],"an":[7],"essential":[8],"resource":[9],"used":[10],"by":[11],"clinicians":[12],"and":[13,154,181,184],"researchers.":[14],"It":[15],"contains":[16],"research":[17,28,68,76,96,111,128],"claims":[18,29,43,77,97,129],"that":[19,44,173],"summarize":[20],"the":[21,31,46,62,71,86,106,142,165,174,186],"critical":[22],"findings":[23],"of":[24,66,88,109],"a":[25,38,67,110,122],"study.":[26],"However,":[27],"on":[30,134],"same":[32],"topic":[33],"can":[34],"be":[35],"contradicting.":[36],"Given":[37],"clinical":[39,115],"question,":[40],"if":[41],"two":[42],"answer":[45],"question":[47],"have":[48],"conflicting":[49],"assertion":[50,64,107,167],"values":[51],"(Yes":[52],"or":[53],"No),":[54],"they":[55],"are":[56],"considered":[57],"contradictory":[58,75,95,127],"claims.":[59],"Hence,":[60],"discovering":[61],"claim":[63,69,112,166],"value":[65,108],"key":[72],"to":[73,93],"detecting":[74],"in":[78,98,163],"literature.":[80,100],"this":[82],"study,":[83],"we":[84],"explored":[85],"usage":[87],"deep":[89],"neural":[90],"network":[91],"(DNN)":[92],"recognize":[94],"The":[101,117,169],"DNN":[102,138],"model":[103,118,176,183],"should":[104],"determine":[105],"against":[113],"its":[114],"question.":[116],"was":[119],"evaluated":[120],"using":[121],"publicly":[123],"available":[124],"corpus":[125],"containing":[126],"from":[130,158],"24":[131],"systematic":[132],"reviews":[133],"cardiovascular":[135],"topic.":[136],"Different":[137],"techniques":[139],"such":[140],"as":[141],"Global":[143],"Vectors":[144],"for":[145],"Word":[146],"Representation":[147],"(GLoVe),":[148],"bidirectional":[149],"Long":[150],"Short-Term":[151],"Memory":[152],"(LSTM)":[153],"Bidirectional":[155],"Encoder":[156],"Representations":[157],"Transformers":[159],"(BERT)":[160],"were":[161],"implemented":[162],"building":[164],"model.":[168],"evaluation":[170],"results":[171],"suggest":[172],"BERT":[175],"performs":[177],"better":[178],"than":[179],"LSTM":[180],"GloVe":[182],"outperforms":[185],"previous":[187],"studies\u2019":[188],"models.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
