{"id":"https://openalex.org/W4393226201","doi":"https://doi.org/10.1186/s12911-024-02485-4","title":"A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests","display_name":"A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393226201","doi":"https://doi.org/10.1186/s12911-024-02485-4","pmid":"https://pubmed.ncbi.nlm.nih.gov/38539201"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-024-02485-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02485-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02485-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02485-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101977204","display_name":"Mehri Momeni","orcid":"https://orcid.org/0000-0002-7515-9513"},"institutions":[{"id":"https://openalex.org/I165560825","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033","country_code":"IR","type":"education","lineage":["https://openalex.org/I165560825"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mehri Momeni","raw_affiliation_strings":["Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran","institution_ids":["https://openalex.org/I165560825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051740917","display_name":"Marziyeh Afkanpour","orcid":"https://orcid.org/0000-0001-7365-0782"},"institutions":[{"id":"https://openalex.org/I165560825","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033","country_code":"IR","type":"education","lineage":["https://openalex.org/I165560825"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Marziyeh Afkanpour","raw_affiliation_strings":["Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran","institution_ids":["https://openalex.org/I165560825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079481958","display_name":"Saleh Rakhshani","orcid":null},"institutions":[{"id":"https://openalex.org/I165560825","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033","country_code":"IR","type":"education","lineage":["https://openalex.org/I165560825"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saleh Rakhshani","raw_affiliation_strings":["Department of pharmaceutics, school of pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of pharmaceutics, school of pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran","institution_ids":["https://openalex.org/I165560825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080063515","display_name":"Amin Mehrabian","orcid":"https://orcid.org/0000-0002-8879-7565"},"institutions":[{"id":"https://openalex.org/I165560825","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033","country_code":"IR","type":"education","lineage":["https://openalex.org/I165560825"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amin Mehrabian","raw_affiliation_strings":["Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran","institution_ids":["https://openalex.org/I165560825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103025467","display_name":"Hamed Tabesh","orcid":"https://orcid.org/0000-0003-3081-0488"},"institutions":[{"id":"https://openalex.org/I165560825","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033","country_code":"IR","type":"education","lineage":["https://openalex.org/I165560825"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamed Tabesh","raw_affiliation_strings":["Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Tabeshh@mums.ac.Ir","Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Tabeshh@mums.ac.Ir","institution_ids":[]},{"raw_affiliation_string":"Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran","institution_ids":["https://openalex.org/I165560825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101977204"],"corresponding_institution_ids":["https://openalex.org/I165560825"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":5.3286,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96605514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"88","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10256","display_name":"Drug Solubulity and Delivery Systems","score":0.5799000263214111,"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"}},"topics":[{"id":"https://openalex.org/T10256","display_name":"Drug Solubulity and Delivery Systems","score":0.5799000263214111,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.12849999964237213,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11651","display_name":"Inhalation and Respiratory Drug Delivery","score":0.025100000202655792,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/machine-learning","display_name":"Machine learning","score":0.6762203574180603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6497787237167358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6401735544204712},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5767589807510376},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.52323979139328},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48241767287254333},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43022146821022034}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6762203574180603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6497787237167358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6401735544204712},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5767589807510376},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.52323979139328},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48241767287254333},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43022146821022034},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005079","descriptor_name":"Excipients","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005079","descriptor_name":"Excipients","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005079","descriptor_name":"Excipients","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005079","descriptor_name":"Excipients","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006244","descriptor_name":"Hardness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006244","descriptor_name":"Hardness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006244","descriptor_name":"Hardness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006244","descriptor_name":"Hardness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012995","descriptor_name":"Solubility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012995","descriptor_name":"Solubility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012995","descriptor_name":"Solubility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012995","descriptor_name":"Solubility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/s12911-024-02485-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02485-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02485-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:38539201","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38539201","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10967102","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10967102","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10967102/pdf/12911_2024_Article_2485.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:76ac5b399bea44eba8376797734b9567","is_oa":false,"landing_page_url":"https://doaj.org/article/76ac5b399bea44eba8376797734b9567","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/d43c692a-8b22-4514-9636-aa6583c798d3","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/d43c692a-8b22-4514-9636-aa6583c798d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Momeni, M, Afkanpour, M, Rakhshani, S, Mehrabian, A & Tabesh, H 2024, 'A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests', BMC Medical Informatics and Decision Making, vol. 24, no. 1, 88. https://doi.org/10.1186/s12911-024-02485-4","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/d43c692a-8b22-4514-9636-aa6583c798d3","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85188957309&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Momeni, M, Afkanpour, M, Rakhshani, S, Mehrabian, A & Tabesh, H 2024, 'A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests', BMC Medical Informatics and Decision Making, vol. 24, no. 1, 88. https://doi.org/10.1186/s12911-024-02485-4","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-024-02485-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02485-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02485-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5443847257","display_name":null,"funder_award_id":"971868","funder_id":"https://openalex.org/F4320322855","funder_display_name":"Mashhad University of Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320322855","display_name":"Mashhad University of Medical Sciences","ror":"https://ror.org/04sfka033"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393226201.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W8188064","https://openalex.org/W59159313","https://openalex.org/W198545313","https://openalex.org/W1495944943","https://openalex.org/W1978015537","https://openalex.org/W1991618236","https://openalex.org/W1999481657","https://openalex.org/W1999798000","https://openalex.org/W2002719309","https://openalex.org/W2045186381","https://openalex.org/W2046589863","https://openalex.org/W2061977564","https://openalex.org/W2076968775","https://openalex.org/W2080712021","https://openalex.org/W2084958472","https://openalex.org/W2087985529","https://openalex.org/W2127060499","https://openalex.org/W2477976544","https://openalex.org/W2519019522","https://openalex.org/W2545032619","https://openalex.org/W2565684601","https://openalex.org/W2753753940","https://openalex.org/W2791095790","https://openalex.org/W2892256234","https://openalex.org/W3022026866","https://openalex.org/W3038110915","https://openalex.org/W3099708086","https://openalex.org/W3105357530","https://openalex.org/W3201854766","https://openalex.org/W4382932272","https://openalex.org/W4391164184","https://openalex.org/W4398956343","https://openalex.org/W6685740990"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W4380075502"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,29,50],"pharmaceutical":[2,178,202,226],"industry":[3],"is":[4,57],"continually":[5],"striving":[6],"to":[7,22,54,78,217],"innovate":[8],"drug":[9,83,185],"development":[10,228],"and":[11,26,60,74,80,101,118,140,165,190,221,229],"formulation":[12,186],"processes.":[13],"Orally":[14],"disintegrating":[15],"tablets":[16],"(ODTs)":[17],"have":[18],"gained":[19],"popularity":[20],"due":[21],"their":[23],"quick":[24],"release":[25],"patient-friendly":[27],"characteristics.":[28],"choice":[30],"of":[31,91,124,152],"excipients":[32],"in":[33,40,47,175,201,225],"tablet":[34,48,115,168,206],"formulations":[35],"plays":[36],"a":[37,68,88,122,150],"critical":[38,111],"role":[39],"ensuring":[41],"product":[42,227],"quality,":[43],"highlighting":[44],"its":[45,173,223],"importance":[46],"creation.":[49],"traditional":[51],"trial-and-error":[52],"approach":[53,70,182],"this":[55],"process":[56],"both":[58],"expensive":[59],"time-intensive.":[61],"To":[62],"tackle":[63],"these":[64],"obstacles,":[65],"we":[66],"introduce":[67],"fresh":[69],"leveraging":[71],"machine":[72],"learning":[73,76,199],"deep":[75,127,146,153,198],"methods":[77],"automate":[79],"enhance":[81],"pre-formulation":[82],"design.":[84],"METHODS:":[85],"We":[86,120],"collected":[87],"comprehensive":[89],"dataset":[90,216],"1983":[92],"formulations,":[93,203],"including":[94],"excipient":[95],"names,":[96],"quantities,":[97],"active":[98],"ingredient":[99],"details,":[100],"various":[102],"physicochemical":[103],"attributes.":[104],"Our":[105,194],"study":[106],"focused":[107],"on":[108,213],"predicting":[109,176],"two":[110],"control":[112],"test":[113],"parameters:":[114],"disintegration":[116,163],"time":[117,164],"hardness.":[119,169],"compared":[121],"range":[123],"models":[125],"like":[126],"learning,":[128,154],"artificial":[129],"neural":[130,147],"networks,":[131],"support":[132],"vector":[133],"machines,":[134],"decision":[135],"trees,":[136],"multiple":[137],"linear":[138],"regression,":[139],"random":[141],"forests.":[142],"RESULTS:":[143],"A":[144],"12-layer":[145],"network,":[148],"as":[149],"form":[151],"surpassed":[155],"alternative":[156],"techniques":[157],"by":[158],"achieving":[159],"73%":[160],"accuracy":[161],"for":[162,167,205],"99%":[166],"This":[170],"success":[171],"underscores":[172],"efficacy":[174],"complex":[177],"factors.":[179],"Such":[180],"an":[181],"streamlines":[183],"the":[184,197,215],"process,":[187],"reducing":[188],"iterations":[189],"material":[191],"consumption.":[192],"CONCLUSIONS:":[193],"findings":[195],"highlight":[196],"potential":[200],"particularly":[204],"hardness":[207],"prediction.":[208],"Future":[209],"work":[210],"should":[211],"focus":[212],"enlarging":[214],"improve":[218],"model":[219],"effectiveness":[220],"extend":[222],"application":[224],"assessment.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}