{"id":"https://openalex.org/W2886568498","doi":"https://doi.org/10.1186/s40537-018-0136-5","title":"A MapReduce-based Adjoint method for preventing brain disease","display_name":"A MapReduce-based Adjoint method for preventing brain disease","publication_year":2018,"publication_date":"2018-08-02","ids":{"openalex":"https://openalex.org/W2886568498","doi":"https://doi.org/10.1186/s40537-018-0136-5","mag":"2886568498"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-018-0136-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0136-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0136-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0136-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068847036","display_name":"Manal Zettam","orcid":"https://orcid.org/0000-0002-6992-5293"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Manal Zettam","raw_affiliation_strings":["Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco"],"affiliations":[{"raw_affiliation_string":"Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085750281","display_name":"Jalal Laassiri","orcid":"https://orcid.org/0000-0002-3583-6516"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Jalal Laassiri","raw_affiliation_strings":["Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco"],"affiliations":[{"raw_affiliation_string":"Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080692813","display_name":"Nourddine Enneya","orcid":"https://orcid.org/0000-0001-7423-2339"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nourddine Enneya","raw_affiliation_strings":["Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco"],"affiliations":[{"raw_affiliation_string":"Informatics, Systems and Optimization Laboratory, Department of Computer Science, Faculty of Science, Ibn Tofail University, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068847036"],"corresponding_institution_ids":["https://openalex.org/I3121676899"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.3385,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68451048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9868999719619751,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9868999719619751,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9855999946594238,"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/T10057","display_name":"Face and Expression Recognition","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7341947555541992},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.6136494874954224},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5198217630386353},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.49244412779808044},{"id":"https://openalex.org/keywords/computational-statistics","display_name":"Computational statistics","score":0.47890105843544006},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45740842819213867},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.428555428981781},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39321139454841614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3865438401699066},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3585982620716095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29019373655319214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2042795717716217},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18863174319267273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341947555541992},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.6136494874954224},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5198217630386353},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.49244412779808044},{"id":"https://openalex.org/C176222170","wikidata":"https://www.wikidata.org/wiki/Q5157340","display_name":"Computational statistics","level":2,"score":0.47890105843544006},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45740842819213867},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.428555428981781},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39321139454841614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3865438401699066},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3585982620716095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29019373655319214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2042795717716217},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18863174319267273},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-018-0136-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0136-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0136-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4fb7646f128d4c2f8c15a5304ff728be","is_oa":true,"landing_page_url":"https://doaj.org/article/4fb7646f128d4c2f8c15a5304ff728be","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 5, Iss 1, Pp 1-17 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-018-0136-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0136-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0136-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886568498.pdf","grobid_xml":"https://content.openalex.org/works/W2886568498.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W10130694","https://openalex.org/W21152038","https://openalex.org/W175430435","https://openalex.org/W1498436455","https://openalex.org/W1554944419","https://openalex.org/W1570963478","https://openalex.org/W1598064945","https://openalex.org/W1751838780","https://openalex.org/W1764906523","https://openalex.org/W1968371014","https://openalex.org/W1971923794","https://openalex.org/W1973948212","https://openalex.org/W1976936948","https://openalex.org/W1984710451","https://openalex.org/W1989102171","https://openalex.org/W2006808488","https://openalex.org/W2007849159","https://openalex.org/W2024623357","https://openalex.org/W2025581624","https://openalex.org/W2027267343","https://openalex.org/W2051036737","https://openalex.org/W2058743477","https://openalex.org/W2058838468","https://openalex.org/W2070213512","https://openalex.org/W2077249804","https://openalex.org/W2085891931","https://openalex.org/W2088780441","https://openalex.org/W2091525425","https://openalex.org/W2098275733","https://openalex.org/W2105503412","https://openalex.org/W2118566694","https://openalex.org/W2121394390","https://openalex.org/W2125270265","https://openalex.org/W2128967643","https://openalex.org/W2137687977","https://openalex.org/W2142334564","https://openalex.org/W2153476503","https://openalex.org/W2158397222","https://openalex.org/W2161349318","https://openalex.org/W2165415091","https://openalex.org/W2166810342","https://openalex.org/W2173213060","https://openalex.org/W2258850935","https://openalex.org/W2297716127","https://openalex.org/W2330820318","https://openalex.org/W2335126921","https://openalex.org/W2493032102","https://openalex.org/W2498923140","https://openalex.org/W2770221433","https://openalex.org/W2795739367","https://openalex.org/W2953716102","https://openalex.org/W3085162807","https://openalex.org/W3133917342","https://openalex.org/W4246597507","https://openalex.org/W4250469042","https://openalex.org/W4251229709","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2392320810","https://openalex.org/W2078609410","https://openalex.org/W2387724274","https://openalex.org/W282683215","https://openalex.org/W4239643353","https://openalex.org/W1983265578","https://openalex.org/W2534768866","https://openalex.org/W2368061881","https://openalex.org/W2496962029","https://openalex.org/W3037512798"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,13],"statistical":[6,31],"model":[7,17,46],"performed":[8],"on":[9],"the":[10,20,30,42,55,62,69,79,83,92,96],"basis":[11],"of":[12,44,95],"patient":[14],"dataset.":[15],"This":[16],"predicts":[18],"efficiently":[19],"brain":[21],"disease":[22],"risk.":[23],"Multiple":[24],"regression":[25,45],"was":[26],"used":[27,39,66],"to":[28,40,67,77],"build":[29],"model.":[32],"The":[33,86],"least":[34,70],"squares":[35],"estimation":[36],"problem":[37],"usually":[38],"estimate":[41],"parameters":[43],"is":[47,60],"solved":[48],"via":[49],"parallelized":[50,56],"algebraic":[51,57],"Adjoint":[52,58,80,98],"method.":[53,99],"As":[54],"method":[59,65,81],"not":[61],"only":[63],"Mapreduce-based":[64,97],"solve":[68],"square":[71],"problem,":[72],"experimentations":[73],"were":[74],"carried":[75],"out":[76],"classify":[78],"amongst":[82],"other":[84],"methods.":[85],"calculated":[87],"job":[88],"completion":[89],"time":[90],"shows":[91],"competitive":[93],"trait":[94]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
