{"id":"https://openalex.org/W2968557172","doi":"https://doi.org/10.1109/cibcb.2019.8791467","title":"ATLAS: A Robust Algorithm for Temporal Sequence Alignment of Treatment Lines using Claim Databases","display_name":"ATLAS: A Robust Algorithm for Temporal Sequence Alignment of Treatment Lines using Claim Databases","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2968557172","doi":"https://doi.org/10.1109/cibcb.2019.8791467","mag":"2968557172"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2019.8791467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2019.8791467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5036372596","display_name":"Martin Prodel","orcid":"https://orcid.org/0000-0002-4092-422X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Martin Prodel","raw_affiliation_strings":["Dept. of Data Analytics, HEVA, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Dept. of Data Analytics, HEVA, Lyon, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026030569","display_name":"Ludovic Lamarsalle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ludovic Lamarsalle","raw_affiliation_strings":["Dept. of Data Analytics, HEVA, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Dept. of Data Analytics, HEVA, Lyon, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055669214","display_name":"Vincent Augusto","orcid":"https://orcid.org/0000-0002-5063-0831"},"institutions":[{"id":"https://openalex.org/I4210099416","display_name":"Laboratoire d'Informatique, de Mod\u00e9lisation et d'Optimisation des Syst\u00e8mes","ror":"https://ror.org/00t3fpp34","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I198244214","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I4210123221","https://openalex.org/I4210159245","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Augusto","raw_affiliation_strings":["UMR 6158 LIMOS, Center for Healthcare Engineering, Saint-\u00c9tienne, France"],"affiliations":[{"raw_affiliation_string":"UMR 6158 LIMOS, Center for Healthcare Engineering, Saint-\u00c9tienne, France","institution_ids":["https://openalex.org/I4210099416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036372596"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66495545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2013","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11752","display_name":"Cancer Treatment and Pharmacology","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/computer-science","display_name":"Computer science","score":0.7169468402862549},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6269875168800354},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5920411348342896},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.5369503498077393},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49796533584594727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4943711757659912},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46801719069480896},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.46340227127075195},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4542350172996521},{"id":"https://openalex.org/keywords/smith\u2013waterman-algorithm","display_name":"Smith\u2013Waterman algorithm","score":0.4390820562839508},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.4206281900405884},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.24523240327835083},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12473848462104797},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08549803495407104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169468402862549},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6269875168800354},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5920411348342896},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.5369503498077393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49796533584594727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4943711757659912},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46801719069480896},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.46340227127075195},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4542350172996521},{"id":"https://openalex.org/C72802188","wikidata":"https://www.wikidata.org/wiki/Q1683352","display_name":"Smith\u2013Waterman algorithm","level":5,"score":0.4390820562839508},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4206281900405884},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.24523240327835083},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12473848462104797},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08549803495407104},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2019.8791467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2019.8791467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W89297006","https://openalex.org/W1988025216","https://openalex.org/W2045354762","https://openalex.org/W2065896950","https://openalex.org/W2074231493","https://openalex.org/W2087064593","https://openalex.org/W2152550237","https://openalex.org/W2162771614","https://openalex.org/W2184109578","https://openalex.org/W2617556060","https://openalex.org/W2730968108","https://openalex.org/W2736522376","https://openalex.org/W4248559216","https://openalex.org/W6603665214","https://openalex.org/W6647072612"],"related_works":["https://openalex.org/W2314146950","https://openalex.org/W2011187995","https://openalex.org/W2373521488","https://openalex.org/W2324878645","https://openalex.org/W2803101231","https://openalex.org/W4284509","https://openalex.org/W4393084406","https://openalex.org/W606911313","https://openalex.org/W4229506690","https://openalex.org/W2096204704"],"abstract_inverted_index":{"Comparison":[0],"of":[1,14,20,30,41,46,68,83,113],"cancer":[2],"treatment":[3],"protocols":[4,21,85],"against":[5,80],"patient":[6],"history":[7,79],"is":[8,22,65,129],"important":[9],"to":[10,48,53,74,131],"assess":[11],"the":[12,50,69,102,107,114],"efficiency":[13],"chemotherapy":[15],"protocols.":[16],"However,":[17],"manual":[18],"identification":[19,55],"not":[23],"possible":[24],"when":[25],"considering":[26],"a":[27,35,81,135],"large":[28],"population":[29],"patients.":[31],"This":[32],"paper":[33],"proposes":[34],"new":[36],"method":[37,104,128],"called":[38],"ATLAS":[39],"(Analysis":[40],"Treatment":[42],"Lines":[43],"using":[44,56],"Alignment":[45],"Sequences)":[47],"tackle":[49],"problem":[51],"related":[52],"protocol":[54,109],"claim":[57],"databases":[58],"as":[59,93,95,134],"data":[60],"input.":[61],"The":[62,127],"proposed":[63,103],"algorithm":[64,71],"an":[66],"extension":[67],"Smith-Waterman":[70],"and":[72],"allows":[73],"compare":[75],"any":[76],"patient's":[77],"medical":[78],"list":[82],"theoretical":[84],"taking":[86],"into":[87],"account":[88],"temporal":[89],"information":[90],"in":[91,110],"sequences":[92,119],"well":[94],"missing":[96],"data.":[97],"Numerical":[98],"experiments":[99],"show":[100],"that":[101],"could":[105],"identify":[106],"right":[108],"over":[111],"95%":[112],"cases":[115],"for":[116,139],"realistically":[117],"noised":[118],"(15,000":[120],"generated":[121],"patients":[122],"aligned":[123],"with":[124],"15":[125],"protocols).":[126],"meant":[130],"be":[132],"used":[133],"decision":[136],"aid":[137],"tool":[138],"practitioners.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
