{"id":"https://openalex.org/W4360585405","doi":"https://doi.org/10.1109/ic3i56241.2022.10073201","title":"Aspect Analysis Based on Statistical Description and Visualization of Data","display_name":"Aspect Analysis Based on Statistical Description and Visualization of Data","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585405","doi":"https://doi.org/10.1109/ic3i56241.2022.10073201"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10073201","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10073201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5009176215","display_name":"Priyanka Tomar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priyanka Tomar","raw_affiliation_strings":["Indira gandhi Delhi Technical University For Women,Information Technology Department,Delhi,India","Information Technology Department, Indira gandhi Delhi Technical University For Women, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indira gandhi Delhi Technical University For Women,Information Technology Department,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Information Technology Department, Indira gandhi Delhi Technical University For Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031798370","display_name":"Nonita Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nonita Sharma","raw_affiliation_strings":["Indira gandhi Delhi Technical University For Women,Information Technology Department,Delhi,India","Information Technology Department, Indira gandhi Delhi Technical University For Women, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indira gandhi Delhi Technical University For Women,Information Technology Department,Delhi,India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"Information Technology Department, Indira gandhi Delhi Technical University For Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050474422","display_name":"Shailesh D. Kamble","orcid":"https://orcid.org/0000-0002-3514-6638"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]},{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shailesh D. Kamble","raw_affiliation_strings":["Indira Gandhi Delhi University for Women,Artificial Intelligence and Data Science,Delhi,India","Artificial Intelligence and Data Science, Indira Gandhi Delhi University for Women, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi University for Women,Artificial Intelligence and Data Science,Delhi,India","institution_ids":["https://openalex.org/I4210143260","https://openalex.org/I110166357"]},{"raw_affiliation_string":"Artificial Intelligence and Data Science, Indira Gandhi Delhi University for Women, Delhi, India","institution_ids":["https://openalex.org/I4210143260","https://openalex.org/I110166357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009176215"],"corresponding_institution_ids":["https://openalex.org/I4210143260"],"apc_list":null,"apc_paid":null,"fwci":0.4974,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78853673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7021198868751526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730101108551025},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6368591785430908},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5745917558670044},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.527825653553009},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4254215359687805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4069729447364807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38341832160949707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35069388151168823},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15068572759628296},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08949127793312073},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08460232615470886}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7021198868751526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730101108551025},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6368591785430908},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5745917558670044},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.527825653553009},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4254215359687805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4069729447364807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38341832160949707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35069388151168823},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15068572759628296},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08949127793312073},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08460232615470886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10073201","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10073201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2073052156","https://openalex.org/W2133538997","https://openalex.org/W2463790047","https://openalex.org/W2757234378","https://openalex.org/W2943526108","https://openalex.org/W3119674813","https://openalex.org/W3163761664","https://openalex.org/W3207665714","https://openalex.org/W3213625407","https://openalex.org/W4251917763","https://openalex.org/W4281287197"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"The":[0],"trending":[1],"machine":[2],"learning":[3],"algorithms":[4,24],"have":[5],"been":[6],"applied":[7],"in":[8,118],"almost":[9],"all":[10],"spheres":[11],"of":[12,22,35,44,70,80,116,130,146,155],"life":[13,53],"and":[14,33,85,93,120,138,153,159,166,178],"able":[15],"to":[16,29,66,150,162,176,182],"give":[17],"accurate":[18],"results.":[19],"However,":[20],"none":[21],"the":[23,31,41,50,68,104,122,144,151,174],"perform":[25],"aspect":[26,42],"analysis":[27,43],"beforehand":[28],"see":[30],"nature":[32],"inferences":[34],"data.":[36,47],"This":[37,73,98],"research":[38],"work":[39,74,99,141],"presents":[40],"heart":[45,90,96,147,157,183],"failure":[46],"As":[48],"per":[49],"day":[51],"today":[52],"scenario":[54],"where":[55],"each":[56],"one":[57],"is":[58,100],"living":[59],"a":[60,156,164],"busy":[61],"life,":[62],"it\u2019s":[63],"very":[64],"important":[65],"know":[67],"health":[69],"our":[71,131],"heart.":[72],"will":[75,170],"show":[76],"case":[77],"different":[78,114],"types":[79,115],"models":[81],"for":[82,173],"cardiovascular":[83],"diseases":[84,148],"its":[86],"prediction":[87],"through":[88],"various":[89,95,128],"patients\u2019":[91],"data":[92,105,132],"detect":[94],"disease.":[97],"developed":[101],"based":[102],"on":[103],"visualization":[106],"approach":[107],"using":[108],"python":[109],"by":[110],"plotting":[111],"graphs":[112,123],"between":[113,127],"attributes":[117,129],"dataset":[119],"analyzing":[121],"which":[124,169],"are":[125],"plotted":[126],"like":[133,161],"age,":[134],"cholesterol,":[135],"trestbps,":[136],"sex":[137],"fbs.":[139],"Research":[140],"would":[142,160],"visualize":[143],"pattern":[145],"according":[149],"age":[152],"gender":[154],"patient":[158],"present":[163],"profound":[165],"relevant":[167],"result":[168],"be":[171],"helpful":[172],"doctors":[175],"analyze":[177],"provide":[179],"proper":[180],"treatment":[181],"patients.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
