{"id":"https://openalex.org/W3041136844","doi":"https://doi.org/10.1109/icces48766.2020.9138065","title":"Predicting Drug Side-effects from Open Source Health Forums using Supervised Classifier Approach","display_name":"Predicting Drug Side-effects from Open Source Health Forums using Supervised Classifier Approach","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3041136844","doi":"https://doi.org/10.1109/icces48766.2020.9138065","mag":"3041136844"},"language":"en","primary_location":{"id":"doi:10.1109/icces48766.2020.9138065","doi":"https://doi.org/10.1109/icces48766.2020.9138065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icces48766.2020.9138065","pdf_url":null,"source":{"id":"https://openalex.org/S4363607853","display_name":"International Conference on Communication and Electronics Systems (ICCES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Communication and Electronics Systems (ICCES)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5108717727","display_name":"D Swathi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Naga Swathi","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru. Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru. Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030268741","display_name":"U. Senthil Kumaran","orcid":"https://orcid.org/0000-0002-0160-2703","observed_orcids":["https://orcid.org/0000-0002-0160-2703"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kumaran. U.","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru. Amrita Vishwa Vidyapeetham, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru. Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":7.8342,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96808511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"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/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.0017999999690800905,"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/adverse-drug-reactions","display_name":"adverse drug reactions","score":0.7820000052452087},{"id":"https://openalex.org/keywords/drug-side-effect-prediction","display_name":"drug side effect prediction","score":0.9490000009536743},{"id":"https://openalex.org/keywords/online-health-communities","display_name":"online health communities","score":0.9739999771118164},{"id":"https://openalex.org/keywords/web-scraping","display_name":"web scraping","score":0.4749999940395355},{"id":"https://openalex.org/keywords/robotic-process-automation","display_name":"robotic process automation","score":0.8489999771118164},{"id":"https://openalex.org/keywords/clinical-text-mining","display_name":"clinical text mining","score":0.4180000126361847},{"id":"https://openalex.org/keywords/symptom-extraction","display_name":"symptom extraction","score":0.6140000224113464},{"id":"https://openalex.org/keywords/medication-extraction","display_name":"medication extraction","score":0.5370000004768372},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.5519999861717224},{"id":"https://openalex.org/keywords/missing-data-handling","display_name":"missing data handling","score":0.41200000047683716}],"concepts":[{"id":"https://openalex.org/C3454156","wikidata":"https://www.wikidata.org/wiki/Q1144241","display_name":"Side effect (computer science)","level":2,"score":0.6220499873161316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6001148819923401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5778708457946777},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5463711023330688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228239297866821},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45319709181785583},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.43296295404434204},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4326653778553009},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.41015905141830444},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3393803834915161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32885876297950745},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.21905186772346497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14744162559509277},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icces48766.2020.9138065","doi":"https://doi.org/10.1109/icces48766.2020.9138065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icces48766.2020.9138065","pdf_url":null,"source":{"id":"https://openalex.org/S4363607853","display_name":"International Conference on Communication and Electronics Systems (ICCES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Communication and Electronics Systems (ICCES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1970270602","https://openalex.org/W1987129673","https://openalex.org/W2008948524","https://openalex.org/W2126550276","https://openalex.org/W2461345536","https://openalex.org/W2511695168","https://openalex.org/W2572837991","https://openalex.org/W2758309892","https://openalex.org/W2772714784","https://openalex.org/W2795183675","https://openalex.org/W2897840125","https://openalex.org/W2914252392","https://openalex.org/W3016962540"],"related_works":["https://openalex.org/W1970270602","https://openalex.org/W3040820084","https://openalex.org/W2965228469","https://openalex.org/W7151752891","https://openalex.org/W4409770612","https://openalex.org/W4225853686","https://openalex.org/W2743605915","https://openalex.org/W2785442376","https://openalex.org/W6906784846","https://openalex.org/W4312314366"],"abstract_inverted_index":{"Adverse":[0],"Drug":[1],"Side-effects":[2,149,165],"is":[3,77],"an":[4],"unexpected":[5],"cause":[6],"of":[7,28,44,48,62,67,74,84,108,150,164],"drug":[8],"reaction":[9],"from":[10,115],"patient":[11],"to":[12,33,41,78,126],"patient.":[13],"However,":[14],"Pharmaceutical":[15],"companies":[16],"manufacturing":[17],"the":[18,24,29,34,42,49,58,82,85,109,128,148,151],"drugs":[19,86],"which":[20,63,87,168],"are":[21,51,69,88,143,157],"prescribed":[22],"for":[23,145,159],"prevention":[25],"and":[26,37,80,106,130,138,166],"cure":[27],"disease,":[30],"sometimes":[31],"leads":[32,40],"ill":[35],"effects":[36],"side-effects":[38,50,83],"that":[39],"death":[43],"consuming":[45,110],"patients.":[46],"Most":[47],"reported":[52],"by":[53,97,133],"pharmaceutical":[54],"industries":[55],"based":[56],"on":[57,91],"Clinical":[59],"trials":[60],"out":[61],"only":[64],"a":[65,161],"few":[66],"them":[68],"identified.":[70],"The":[71],"main":[72],"aim":[73],"this":[75,118],"paper":[76],"analyze":[79],"predict":[81],"massively":[89],"available":[90],"public":[92],"online":[93],"health":[94],"care":[95],"forum":[96],"extracting":[98],"various":[99],"essential":[100],"information":[101],"such":[102],"as":[103],"side-effects,":[104],"symptoms":[105],"medication":[107],"patients":[111],"using":[112],"UiPath":[113],"tool":[114],"WebMB.com.":[116],"Also,":[117],"research":[119],"work":[120],"uses":[121],"Robotic":[122],"Process":[123],"Automation":[124],"(RPA)":[125],"extract":[127],"data":[129],"pre-process":[131],"manually":[132],"dropping":[134],"noisy,":[135],"unwanted":[136],"records":[137],"missing":[139],"data.":[140],"Feature":[141],"sets":[142],"analyzed":[144],"better":[146,171],"predicting":[147],"drugs.":[152],"Machine":[153],"Learning":[154],"(ML)":[155],"methods":[156],"used":[158],"performing":[160],"comparative":[162],"analysis":[163],"identify":[167],"classifier":[169],"gives":[170],"accuracy.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-07-16T00:00:00"}