{"id":"https://openalex.org/W4386072326","doi":"https://doi.org/10.1109/smartnets58706.2023.10215985","title":"A Computational Drug Repositioning Effort using Patients\u2019 Reviews Dataset","display_name":"A Computational Drug Repositioning Effort using Patients\u2019 Reviews Dataset","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386072326","doi":"https://doi.org/10.1109/smartnets58706.2023.10215985"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets58706.2023.10215985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","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/A5068833667","display_name":"Ali Volkan Akkaya","orcid":"https://orcid.org/0000-0001-7189-592X"},"institutions":[{"id":"https://openalex.org/I95293974","display_name":"Abdullah G\u00fcl University","ror":"https://ror.org/00zdyy359","country_code":"TR","type":"education","lineage":["https://openalex.org/I95293974"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ali Akkaya","raw_affiliation_strings":["Abdullah Gul University,Department of Computer Engineering,Kayseri,Turkey","Department of Computer Engineering, Abdullah Gul University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Abdullah Gul University,Department of Computer Engineering,Kayseri,Turkey","institution_ids":["https://openalex.org/I95293974"]},{"raw_affiliation_string":"Department of Computer Engineering, Abdullah Gul University, Kayseri, Turkey","institution_ids":["https://openalex.org/I95293974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068823848","display_name":"Gokhan Bakal","orcid":"https://orcid.org/0000-0003-2897-3894"},"institutions":[{"id":"https://openalex.org/I95293974","display_name":"Abdullah G\u00fcl University","ror":"https://ror.org/00zdyy359","country_code":"TR","type":"education","lineage":["https://openalex.org/I95293974"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gokhan Bakal","raw_affiliation_strings":["Abdullah Gul University,Department of Computer Engineering,Kayseri,Turkey","Department of Computer Engineering, Abdullah Gul University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Abdullah Gul University,Department of Computer Engineering,Kayseri,Turkey","institution_ids":["https://openalex.org/I95293974"]},{"raw_affiliation_string":"Department of Computer Engineering, Abdullah Gul University, Kayseri, Turkey","institution_ids":["https://openalex.org/I95293974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068833667"],"corresponding_institution_ids":["https://openalex.org/I95293974"],"apc_list":null,"apc_paid":null,"fwci":0.202,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54799728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9991000294685364,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9923999905586243,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9865000247955322,"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/drug-repositioning","display_name":"Drug repositioning","score":0.8043526411056519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75605309009552},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.6641470789909363},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5424670577049255},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4841685891151428},{"id":"https://openalex.org/keywords/repurposing","display_name":"Repurposing","score":0.4836198389530182},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4704386591911316},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42308229207992554},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4166853725910187},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4158564805984497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34385794401168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32865801453590393},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18914857506752014},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1873685121536255},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.09163874387741089},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09067901968955994}],"concepts":[{"id":"https://openalex.org/C103637391","wikidata":"https://www.wikidata.org/wiki/Q5308921","display_name":"Drug repositioning","level":3,"score":0.8043526411056519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75605309009552},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.6641470789909363},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5424670577049255},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4841685891151428},{"id":"https://openalex.org/C519536355","wikidata":"https://www.wikidata.org/wiki/Q21021151","display_name":"Repurposing","level":2,"score":0.4836198389530182},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4704386591911316},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42308229207992554},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4166853725910187},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4158564805984497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34385794401168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32865801453590393},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18914857506752014},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1873685121536255},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.09163874387741089},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09067901968955994},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets58706.2023.10215985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1723129825","https://openalex.org/W1984054151","https://openalex.org/W2019759670","https://openalex.org/W2117446654","https://openalex.org/W2117831564","https://openalex.org/W2132022337","https://openalex.org/W2151357092","https://openalex.org/W2562607067","https://openalex.org/W2793376154","https://openalex.org/W2798859316","https://openalex.org/W2944851425","https://openalex.org/W3026298482","https://openalex.org/W3044334750","https://openalex.org/W4285029539","https://openalex.org/W6679191575","https://openalex.org/W6777737940","https://openalex.org/W6802243670"],"related_works":["https://openalex.org/W2899096130","https://openalex.org/W3190782215","https://openalex.org/W2902729297","https://openalex.org/W3110500039","https://openalex.org/W4255531208","https://openalex.org/W4396858017","https://openalex.org/W4400165188","https://openalex.org/W4206422705","https://openalex.org/W4320009247","https://openalex.org/W3186872001"],"abstract_inverted_index":{"The":[0],"drug":[1,44,180],"discovery":[2,38,45,50],"process":[3,51],"is":[4,81],"one":[5],"of":[6,21,29,58,69,97,152,194],"the":[7,19,22,49,59,79,104,107,122,134,139,145,183],"core":[8],"motivations":[9],"in":[10],"both":[11],"medical":[12],"and,":[13],"specifically,":[14],"pharmaceutical":[15],"disciplines.":[16],"Due":[17],"to":[18,35,82,120,131,178],"nature":[20],"process,":[23],"it":[24],"requires":[25],"an":[26,149],"excessive":[27],"amount":[28],"time,":[30],"clinical":[31],"experiments,":[32],"and":[33,115],"budget":[34],"cover":[36],"each":[37],"phase.":[39],"In":[40,76],"this":[41,77],"sense,":[42],"computational":[43],"efforts":[46],"can":[47],"shorten":[48],"by":[52,101],"providing":[53],"plausible":[54,84,195],"candidates":[55,199],"since":[56],"many":[57],"attempts":[60],"fail":[61],"for":[62,87,200],"several":[63],"reasons,":[64],"such":[65],"as":[66,158,197],"a":[67,94,111,165,188,192],"lack":[68],"participants,":[70],"financial":[71],"problems,":[72],"or":[73,154],"ineffective":[74],"results.":[75],"study,":[78],"goal":[80],"identify":[83,179],"candidate":[85],"drugs":[86,98,196],"diseases.":[88],"To":[89],"do":[90],"that,":[91],"we":[92,118,125,190],"utilize":[93],"personal":[95],"experience":[96],"dataset":[99,123],"generated":[100],"patients.":[102],"Beyond":[103],"user-generated":[105],"comments,":[106],"users":[108],"also":[109,163],"give":[110],"rate":[112,151],"between":[113],"1":[114],"10.":[116],"Since":[117],"want":[119],"ensure":[121],"quality,":[124],"first":[126],"performed":[127],"sentiment":[128],"analysis":[129],"experiments":[130],"prove":[132],"that":[133],"reviews/comments":[135],"are":[136,156],"consistent":[137],"with":[138],"given":[140],"rating":[141],"score.":[142],"Then,":[143],"only":[144],"review":[146],"pairs":[147],"having":[148],"effectiveness":[150],"6":[153],"more":[155],"selected":[157],"pre-filtered":[159],"drug-disease":[160],"pairs.":[161],"We":[162],"build":[164],"knowledge":[166],"graph":[167],"using":[168,172],"treatment-related":[169],"biomedical":[170],"relations":[171],"predications":[173],"from":[174],"Semantic":[175],"Medline":[176],"Database":[177],"similarities":[181],"utilizing":[182],"Simrank":[184],"similarity":[185],"algorithm.":[186],"As":[187],"result,":[189],"reported":[191],"list":[193],"repurposing/repositioning":[198],"further":[201],"experiments.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
