{"id":"https://openalex.org/W3167407828","doi":"https://doi.org/10.1109/iciccs51141.2021.9432153","title":"Text Mining in Health Care Sector Techniques, Applications and Challenges","display_name":"Text Mining in Health Care Sector Techniques, Applications and Challenges","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3167407828","doi":"https://doi.org/10.1109/iciccs51141.2021.9432153","mag":"3167407828"},"language":"en","primary_location":{"id":"doi:10.1109/iciccs51141.2021.9432153","doi":"https://doi.org/10.1109/iciccs51141.2021.9432153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciccs51141.2021.9432153","pdf_url":null,"source":{"id":"https://openalex.org/S4363607829","display_name":"International Conference on Intelligent Computing and Control Systems (ICICCS)","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":"2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)","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/A5002058063","display_name":"K.T. Mathuna","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K.T. Mathuna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012646513","display_name":"I. Elizabeth Shanthi","orcid":"https://orcid.org/0000-0002-9674-4690","observed_orcids":["https://orcid.org/0000-0002-9674-4690"]},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"I.Elizabeth Shanthi","raw_affiliation_strings":["Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamilnadu, India","institution_ids":["https://openalex.org/I161045824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03150912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1539","last_page":"1545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.49900001287460327,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.49900001287460327,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.2824999988079071,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.04989999905228615,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/text-mining","display_name":"text mining","score":0.9879999756813049},{"id":"https://openalex.org/keywords/health-care","display_name":"health care","score":0.7350000143051147},{"id":"https://openalex.org/keywords/medical-records","display_name":"medical records","score":0.9359999895095825},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.847000002861023},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"unstructured data","score":0.7369999885559082},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.546999990940094},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.6110000014305115},{"id":"https://openalex.org/keywords/clinical-text-mining","display_name":"clinical text mining","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7360609173774719},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6962423920631409},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5846720933914185},{"id":"https://openalex.org/C2775899829","wikidata":"https://www.wikidata.org/wiki/Q3109007","display_name":"Globe","level":2,"score":0.5828152298927307},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.5646841526031494},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4693986475467682},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45498979091644287},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.39626896381378174},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35359472036361694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34206461906433105},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32254451513290405},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17256543040275574},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10417839884757996},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciccs51141.2021.9432153","doi":"https://doi.org/10.1109/iciccs51141.2021.9432153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciccs51141.2021.9432153","pdf_url":null,"source":{"id":"https://openalex.org/S4363607829","display_name":"International Conference on Intelligent Computing and Control Systems (ICICCS)","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":"2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1606710192","https://openalex.org/W1936675833","https://openalex.org/W2011833769","https://openalex.org/W2105794281","https://openalex.org/W2117930227","https://openalex.org/W2121399461","https://openalex.org/W2149557260","https://openalex.org/W2159291644","https://openalex.org/W2283041611","https://openalex.org/W2341390137","https://openalex.org/W2407712691","https://openalex.org/W2552225245","https://openalex.org/W2583686848","https://openalex.org/W2711661370","https://openalex.org/W2772871692","https://openalex.org/W2778732622","https://openalex.org/W2783426222","https://openalex.org/W2789244308","https://openalex.org/W2795959543","https://openalex.org/W2802668759","https://openalex.org/W2804604520","https://openalex.org/W2805089815","https://openalex.org/W2889599487","https://openalex.org/W2889846135","https://openalex.org/W2900743892","https://openalex.org/W2943406501","https://openalex.org/W2946387978","https://openalex.org/W2950739733","https://openalex.org/W2956510760","https://openalex.org/W2963923670","https://openalex.org/W2965163738","https://openalex.org/W2970243285","https://openalex.org/W2973197954","https://openalex.org/W2988595210","https://openalex.org/W2990505656","https://openalex.org/W3082988137"],"related_works":["https://openalex.org/W4298000533","https://openalex.org/W2911866413","https://openalex.org/W7134907597","https://openalex.org/W4214485517","https://openalex.org/W2484182979","https://openalex.org/W2804664626","https://openalex.org/W318763523","https://openalex.org/W4200300247","https://openalex.org/W7098491673","https://openalex.org/W2911983085"],"abstract_inverted_index":{"A":[0],"large":[1],"amount":[2],"of":[3,46,58,100,131],"information":[4],"is":[5,33,55,106],"generated":[6,77],"across":[7],"the":[8,23,38,44,115,129],"globe":[9],"through":[10],"various":[11,68],"IT":[12],"enabled":[13],"services.":[14],"Health":[15,31],"care":[16,32,62,87,142],"industry":[17],"has":[18],"turned":[19],"out":[20],"to":[21,37,93],"be":[22],"most":[24],"significant":[25],"and":[26,43,48,64,85,102,123,134],"information-rich":[27],"area.":[28],"The":[29],"term":[30],"gaining":[34,72],"popularity":[35],"due":[36],"improvement":[39],"in":[40,114,137],"medical":[41,116],"science":[42],"prevalence":[45],"new":[47],"peculiar":[49],"diseases.":[50],"In":[51],"recent":[52],"years,":[53],"there":[54,119],"increased":[56],"usage":[57],"electronic":[59],"personal":[60],"health":[61,86,141],"devices":[63],"consulting":[65],"physicians":[66],"for":[67,140],"illnesses":[69],"that":[70,91,110],"are":[71,76,120],"insight.":[73],"Medical":[74],"records":[75,90,117],"every":[78],"second":[79],"from":[80],"hospital":[81],"visits,":[82],"inpatient":[83],"wards":[84],"devices.":[88],"These":[89],"turn":[92],"become":[94],"big":[95],"data":[96],"require":[97],"a":[98,107],"lot":[99],"analyses":[101],"predictions.":[103],"Text":[104],"mining":[105,113,139],"broad":[108],"field":[109],"needs":[111],"more":[112],"as":[118],"structured,":[121],"semi-structured":[122],"unstructured":[124],"data.":[125,143],"This":[126],"paper":[127],"depicts/overlays":[128],"study":[130],"algorithms,":[132],"tools":[133],"techniques":[135],"involved":[136],"text":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-06-22T00:00:00"}