{"id":"https://openalex.org/W3123622254","doi":"https://doi.org/10.1109/csit49958.2020.9321841","title":"The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States","display_name":"The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3123622254","doi":"https://doi.org/10.1109/csit49958.2020.9321841","mag":"3123622254"},"language":"en","primary_location":{"id":"doi:10.1109/csit49958.2020.9321841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9321841","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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/A5049654481","display_name":"Nataliia Melnykova","orcid":"https://orcid.org/0000-0002-2114-3436"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Nataliia Melnykova","raw_affiliation_strings":["Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589283","display_name":"Volodymyr Melnykov","orcid":null},"institutions":[{"id":"https://openalex.org/I24402780","display_name":"Danylo Halytsky Lviv National Medical University","ror":"https://ror.org/0027cag10","country_code":"UA","type":"education","lineage":["https://openalex.org/I24402780"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Volodymyr Melnykov","raw_affiliation_strings":["General Surgery Department, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"General Surgery Department, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine","institution_ids":["https://openalex.org/I24402780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039331445","display_name":"Nataliya Shahovska","orcid":null},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Nataliya Shahovska","raw_affiliation_strings":["Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110739278","display_name":"Nataliia Lysa","orcid":null},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Nataliia Lysa","raw_affiliation_strings":["Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Artificial Intellijent Department, Lviv Polytechnic National University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049654481"],"corresponding_institution_ids":["https://openalex.org/I98435010"],"apc_list":null,"apc_paid":null,"fwci":2.4764,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88674389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12734","display_name":"Information Systems and Technology Applications","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12734","display_name":"Information Systems and Technology Applications","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13113","display_name":"Engineering Technology and Methodologies","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612566709518433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827544927597046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5309284329414368},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5096619129180908},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4786999523639679},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.47840723395347595},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4678668975830078},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46757060289382935},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4187653958797455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4186711609363556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3768025040626526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612566709518433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827544927597046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5309284329414368},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5096619129180908},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4786999523639679},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.47840723395347595},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4678668975830078},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46757060289382935},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4187653958797455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4186711609363556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3768025040626526},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit49958.2020.9321841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9321841","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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":44,"referenced_works":["https://openalex.org/W1551575334","https://openalex.org/W1970891614","https://openalex.org/W2022828327","https://openalex.org/W2044686827","https://openalex.org/W2111321650","https://openalex.org/W2163215699","https://openalex.org/W2289084942","https://openalex.org/W2320263878","https://openalex.org/W2583569883","https://openalex.org/W2613773647","https://openalex.org/W2620609862","https://openalex.org/W2799937793","https://openalex.org/W2807762208","https://openalex.org/W2883367638","https://openalex.org/W2894591675","https://openalex.org/W2894770842","https://openalex.org/W2898730521","https://openalex.org/W2898871008","https://openalex.org/W2899015031","https://openalex.org/W2901912315","https://openalex.org/W2914998579","https://openalex.org/W2943348420","https://openalex.org/W2963578277","https://openalex.org/W2970186320","https://openalex.org/W2971169053","https://openalex.org/W2972704674","https://openalex.org/W2977362130","https://openalex.org/W2979814006","https://openalex.org/W2986127488","https://openalex.org/W2991663471","https://openalex.org/W3006913750","https://openalex.org/W3009652674","https://openalex.org/W3046455048","https://openalex.org/W3188889450","https://openalex.org/W6632953187","https://openalex.org/W6696122297","https://openalex.org/W6732418427","https://openalex.org/W6750754076","https://openalex.org/W6752342309","https://openalex.org/W6759707883","https://openalex.org/W6768609119","https://openalex.org/W6774597315","https://openalex.org/W6781597784","https://openalex.org/W6799321795"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W4322502698"],"abstract_inverted_index":{"The":[0,24,98],"advent":[1],"of":[2,5,9,29,38,44,50,78,84,87,101,103,106,110,113,116,119,125,128,134],"large":[3,111],"volumes":[4,112],"data,":[6,16,114],"the":[7,27,34,42,48,76,85,92,95,104,120,126,132],"use":[8],"artificial":[10],"intelligence":[11],"methods":[12,28,107],"for":[13,94,108],"processing":[14],"heterogeneous":[15],"in":[17,68,131],"particular":[18,69],"medical,":[19],"is":[20,59],"becoming":[21],"increasingly":[22],"relevant.":[23],"article":[25],"investigate":[26],"Data":[30],"Mining":[31],"and":[32,36,52,72,82,91,123],"analyzes":[33],"features":[35],"results":[37,49],"their":[39],"application":[40,102],"to":[41,61],"classification":[43],"patients'":[45,79],"states":[46,136],"by":[47],"laboratory":[51],"other":[53],"medical":[54],"diagnostic":[55],"methods.":[56],"Particular":[57],"attention":[58],"paid":[60],"naive":[62],"Bayesian":[63],"method,":[64],"cluster":[65],"analysis":[66,83,115],"methods,":[67],"DBSCAN,":[70],"PCA,":[71],"k-means,":[73],"based":[74],"on":[75],"identification":[77],"condition":[80],"clusters":[81],"correlation":[86],"distance":[88],"between":[89],"them":[90],"search":[93],"posterior":[96],"maximum.":[97],"main":[99],"advantages":[100],"ensemble":[105],"consolidation":[109],"individual":[117],"characteristics":[118],"studied":[121],"object":[122],"study":[124],"process":[127],"its":[129,135],"behavior":[130],"space":[133],"are":[137],"determined.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}