{"id":"https://openalex.org/W1642565689","doi":"https://doi.org/10.1109/coase.2015.7294264","title":"Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach","display_name":"Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1642565689","doi":"https://doi.org/10.1109/coase.2015.7294264","mag":"1642565689"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gian Antonio Susto","raw_affiliation_strings":["University of Padova, Dublin, Ireland","Univ. of Padova  (Italy)"],"affiliations":[{"raw_affiliation_string":"University of Padova, Dublin, Ireland","institution_ids":[]},{"raw_affiliation_string":"Univ. of Padova  (Italy)","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005974306","display_name":"Se\u00e1n McLoone","orcid":"https://orcid.org/0000-0002-3016-6197"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sean McLoone","raw_affiliation_strings":["School of Electronics Electrical Engineering and Computer Science, Queen's University, Belfast, Northern Ireland","[School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University, Belfast, Northern Ireland]"],"affiliations":[{"raw_affiliation_string":"School of Electronics Electrical Engineering and Computer Science, Queen's University, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"[School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University, Belfast, Northern Ireland]","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026617079"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.4212,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.58717578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1218","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11881","display_name":"Crystallization and Solubility Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11881","display_name":"Crystallization and Solubility Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10256","display_name":"Drug Solubulity and Delivery Systems","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3003","display_name":"Pharmaceutical Science"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.7472316026687622},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6222255229949951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614437460899353},{"id":"https://openalex.org/keywords/dissolution","display_name":"Dissolution","score":0.5042823553085327},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4924953877925873},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49154695868492126},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.450178325176239},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4298032820224762},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.42831605672836304},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42576539516448975},{"id":"https://openalex.org/keywords/dissolution-testing","display_name":"Dissolution testing","score":0.41931259632110596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41296637058258057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4074694812297821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38115614652633667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.256716787815094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19158321619033813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1883716583251953},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08453160524368286}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.7472316026687622},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6222255229949951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614437460899353},{"id":"https://openalex.org/C88380143","wikidata":"https://www.wikidata.org/wiki/Q416674","display_name":"Dissolution","level":2,"score":0.5042823553085327},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4924953877925873},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49154695868492126},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.450178325176239},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4298032820224762},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.42831605672836304},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42576539516448975},{"id":"https://openalex.org/C14029885","wikidata":"https://www.wikidata.org/wiki/Q5282807","display_name":"Dissolution testing","level":4,"score":0.41931259632110596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41296637058258057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4074694812297821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38115614652633667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.256716787815094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19158321619033813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1883716583251953},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08453160524368286},{"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/C2781430271","wikidata":"https://www.wikidata.org/wiki/Q278760","display_name":"Biopharmaceutics Classification System","level":3,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/coase.2015.7294264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/a8c6907b-0786-4b2f-addd-1b134052dd1a","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/a8c6907b-0786-4b2f-addd-1b134052dd1a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Susto, G A & McLoone, S 2015, 'Slow Release Drug Dissolution Profile Prediction in Pharmaceutical Manufacturing: a Multivariate and Machine Learning Approach', Paper presented at 2015 IEEE International Conference on Automation Science and Engineering (IEEE CASE 2015), Gothenburg, Sweden, 24/08/2015 - 28/08/2015. < http://case2015.org/program/ >","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:www.research.unipd.it:11577/3173308","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3173308","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1554944419","https://openalex.org/W1999393241","https://openalex.org/W2017426942","https://openalex.org/W2033872649","https://openalex.org/W2057275659","https://openalex.org/W2060320802","https://openalex.org/W2069869076","https://openalex.org/W2077562320","https://openalex.org/W2088221142","https://openalex.org/W2095553418","https://openalex.org/W2113368402","https://openalex.org/W2120130912","https://openalex.org/W2135046866","https://openalex.org/W2144130271","https://openalex.org/W2148259335","https://openalex.org/W2171033594","https://openalex.org/W2507812949","https://openalex.org/W2792456291","https://openalex.org/W4256080103"],"related_works":["https://openalex.org/W3090384609","https://openalex.org/W3194013178","https://openalex.org/W4256576576","https://openalex.org/W4236464082","https://openalex.org/W4249086404","https://openalex.org/W2212119398","https://openalex.org/W2790019364","https://openalex.org/W3094550016","https://openalex.org/W2982650128","https://openalex.org/W4282583532"],"abstract_inverted_index":{"Slow":[0],"release":[1,105],"drugs":[2],"must":[3],"be":[4],"manufactured":[5],"to":[6,12,59],"meet":[7],"target":[8],"specifications":[9],"with":[10,72],"respect":[11],"dissolution":[13,28],"curve":[14,29],"profiles.":[15],"In":[16],"this":[17],"paper":[18],"we":[19],"consider":[20],"the":[21,25,80,83,90],"problem":[22],"of":[23,27,31,82,87],"identifying":[24],"drivers":[26],"variability":[30,88],"a":[32,65,103],"drug":[33,91],"from":[34],"historical":[35],"manufacturing":[36,100],"data.":[37],"Several":[38],"data":[39,101],"sources":[40],"are":[41],"considered:":[42],"raw":[43],"material":[44],"parameters,":[45],"coating":[46],"data,":[47],"loss":[48],"on":[49],"drying":[50],"and":[51],"pellet":[52],"size":[53],"statistics.":[54],"The":[55,94],"methodology":[56,96],"employed":[57],"is":[58,97],"develop":[60],"predictive":[61],"models":[62],"using":[63,99],"LASSO,":[64],"powerful":[66],"machine":[67],"learning":[68],"algorithm":[69],"for":[70,102],"regression":[71],"high-dimensional":[73],"datasets.":[74],"LASSO":[75],"provides":[76],"sparse":[77],"solutions":[78],"facilitating":[79],"identification":[81],"most":[84],"important":[85],"causes":[86],"in":[89],"fabrication":[92],"process.":[93],"proposed":[95],"illustrated":[98],"slow":[104],"drug.":[106]},"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":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}