{"id":"https://openalex.org/W2999315130","doi":"https://doi.org/10.4018/ijskd.2019100101","title":"Weighted Rough Set Theory for Fetal Heart Rate Classification","display_name":"Weighted Rough Set Theory for Fetal Heart Rate Classification","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2999315130","doi":"https://doi.org/10.4018/ijskd.2019100101","mag":"2999315130"},"language":"en","primary_location":{"id":"doi:10.4018/ijskd.2019100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijskd.2019100101","pdf_url":null,"source":{"id":"https://openalex.org/S177842713","display_name":"International Journal of Sociotechnology and Knowledge Development","issn_l":"1941-6253","issn":["1941-6253","1941-6261"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Sociotechnology and Knowledge Development","raw_type":"journal-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/A5065670073","display_name":"Sanjay Kumar","orcid":"https://orcid.org/0000-0003-3659-5387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Udhaya Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Sona College of Technology, Salem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sona College of Technology, Salem, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034196986","display_name":"Ahmad Taher Azar","orcid":"https://orcid.org/0000-0002-7869-6373"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]},{"id":"https://openalex.org/I207547235","display_name":"Benha University","ror":"https://ror.org/03tn5ee41","country_code":"EG","type":"education","lineage":["https://openalex.org/I207547235"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Ahmad Taher Azar","raw_affiliation_strings":["Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Kingdom of Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Banha, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7869-6373","affiliations":[{"raw_affiliation_string":"Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Kingdom of Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Banha, Egypt","institution_ids":["https://openalex.org/I207547235","https://openalex.org/I142024983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057972591","display_name":"H. Hannah Inbarani","orcid":"https://orcid.org/0000-0002-2956-3507"},"institutions":[{"id":"https://openalex.org/I141431873","display_name":"Periyar University","ror":"https://ror.org/05crs8s98","country_code":"IN","type":"education","lineage":["https://openalex.org/I141431873"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H. Hannah Inbarani","raw_affiliation_strings":["Department of Computer Science Periyar University, Salem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Periyar University, Salem, India","institution_ids":["https://openalex.org/I141431873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063401342","display_name":"O. Joseph Liyaskar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154858","display_name":"Government Mohan Kumaramangalam Medical College","ror":"https://ror.org/050m92g92","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210154858"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"O. Joseph Liyaskar","raw_affiliation_strings":["Government Mohan Kumaramangalam Medical College, Salem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government Mohan Kumaramangalam Medical College, Salem, India","institution_ids":["https://openalex.org/I4210154858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023878979","display_name":"Khaled Mohamad Almustafa","orcid":"https://orcid.org/0000-0003-2129-7686"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Khaled Mohamad Almustafa","raw_affiliation_strings":["College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6279,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9116787,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"4","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"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/T13882","display_name":"Research studies in Vietnam","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5808975100517273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5735405683517456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706629157066345},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5586362481117249},{"id":"https://openalex.org/keywords/soft-set","display_name":"Soft set","score":0.5359249114990234},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5248101949691772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4991607666015625},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.48308685421943665},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4215541481971741},{"id":"https://openalex.org/keywords/fetal-heart-rate","display_name":"Fetal heart rate","score":0.42094895243644714},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38570544123649597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32376545667648315},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1811719536781311},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.14416250586509705},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13768073916435242},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.09917110204696655}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5808975100517273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5735405683517456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706629157066345},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5586362481117249},{"id":"https://openalex.org/C2777037408","wikidata":"https://www.wikidata.org/wiki/Q4310193","display_name":"Soft set","level":3,"score":0.5359249114990234},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5248101949691772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4991607666015625},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.48308685421943665},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4215541481971741},{"id":"https://openalex.org/C3020626262","wikidata":"https://www.wikidata.org/wiki/Q886292","display_name":"Fetal heart rate","level":4,"score":0.42094895243644714},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38570544123649597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32376545667648315},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1811719536781311},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.14416250586509705},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13768073916435242},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.09917110204696655},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijskd.2019100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijskd.2019100101","pdf_url":null,"source":{"id":"https://openalex.org/S177842713","display_name":"International Journal of Sociotechnology and Knowledge Development","issn_l":"1941-6253","issn":["1941-6253","1941-6261"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Sociotechnology and Knowledge Development","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jskd00:v:11:y:2019:i:4:p:1-19","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSKD.2019100101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W29919285","https://openalex.org/W316272979","https://openalex.org/W896196729","https://openalex.org/W1194606545","https://openalex.org/W1557262606","https://openalex.org/W1591618909","https://openalex.org/W1978030759","https://openalex.org/W1984769176","https://openalex.org/W1986986065","https://openalex.org/W2001692054","https://openalex.org/W2002309500","https://openalex.org/W2010631927","https://openalex.org/W2014317722","https://openalex.org/W2021411406","https://openalex.org/W2023474564","https://openalex.org/W2023943573","https://openalex.org/W2026503419","https://openalex.org/W2029102422","https://openalex.org/W2029727715","https://openalex.org/W2036335312","https://openalex.org/W2036547589","https://openalex.org/W2038514024","https://openalex.org/W2045358009","https://openalex.org/W2048068531","https://openalex.org/W2049204733","https://openalex.org/W2055266411","https://openalex.org/W2070154551","https://openalex.org/W2074101794","https://openalex.org/W2079199728","https://openalex.org/W2087211322","https://openalex.org/W2089837105","https://openalex.org/W2095727900","https://openalex.org/W2098093602","https://openalex.org/W2101801369","https://openalex.org/W2105382646","https://openalex.org/W2117399799","https://openalex.org/W2124691611","https://openalex.org/W2125301736","https://openalex.org/W2139208921","https://openalex.org/W2142735448","https://openalex.org/W2146446882","https://openalex.org/W2148002238","https://openalex.org/W2149298154","https://openalex.org/W2151172597","https://openalex.org/W2152806993","https://openalex.org/W2166353775","https://openalex.org/W2281020383","https://openalex.org/W2288754303","https://openalex.org/W2294558593","https://openalex.org/W2304038971","https://openalex.org/W2430532445","https://openalex.org/W2460890672","https://openalex.org/W2492639844","https://openalex.org/W2550148330","https://openalex.org/W2786454292","https://openalex.org/W3120740533","https://openalex.org/W4237635626","https://openalex.org/W4254721730"],"related_works":["https://openalex.org/W3045621976","https://openalex.org/W2042560256","https://openalex.org/W2106055054","https://openalex.org/W4309785386","https://openalex.org/W4385597163","https://openalex.org/W2354923430","https://openalex.org/W3133985961","https://openalex.org/W2074193720","https://openalex.org/W2042267253","https://openalex.org/W2032972115"],"abstract_inverted_index":{"A":[0],"novel":[1],"weighted":[2,149],"rough":[3,128,150,189],"set-based":[4,129,190],"classification":[5,22,116,178,228,237,244],"approach":[6],"is":[7,23,109,133,155,174,219],"introduced":[8],"for":[9,30,92,157],"the":[10,31,46,60,81,84,99,104,113,159,170,216,223,231,235],"evaluation":[11],"of":[12,37,59,83,103,115,140,169,221],"fetal":[13,39,43,68,160,224],"nature":[14],"acquired":[15],"from":[16,73,107,143],"a":[17,57,127,137],"CardioTocoGram":[18],"(CTG)":[19],"signal.":[20],"The":[21,70,101,147,167,211],"essential":[24],"to":[25,79,98,135],"anticipate":[26,80],"newborn's":[27],"well-being,":[28],"particularly":[29],"life-threatening":[32],"cases.":[33],"CTG":[34,108,144],"monitoring":[35],"comprises":[36],"electronic":[38],"heart":[40],"rate":[41],"(FHR),":[42],"activities":[44],"and":[45,62,111,164,206,230],"uterine":[47],"contraction":[48],"(UC)":[49],"signals.":[50],"These":[51],"signals":[52],"are":[53],"extensively":[54],"used":[55,134],"as":[56,162,181],"part":[58],"pregnancy":[61],"give":[63],"extremely":[64],"significant":[65,141],"data":[66,72],"on":[67],"health.":[69],"obtained":[71,105],"these":[74],"recordings":[75],"can":[76],"be":[77],"utilized":[78,156],"condition":[82,161],"newborn":[85],"baby,":[86],"which":[87],"gives":[88],"an":[89],"open":[90],"door":[91],"early":[93],"medication":[94],"before":[95],"perpetual":[96],"deficiency":[97],"fetus.":[100],"dimension":[102],"features":[106,142],"high":[110],"decreases":[112],"accuracy":[114],"algorithms.":[117],"In":[118],"this":[119],"article,":[120],"supervised":[121],"particle":[122],"swarm":[123],"optimization":[124],"(PSO)":[125],"with":[126,176,226],"dimensionality":[130],"reduction":[131],"method":[132,154],"find":[136],"minimal":[138],"set":[139,151,184],"extracted":[145],"features.":[146],"proposed":[148,171,217,236],"classifier":[152,187,191],"(WRSC)":[153],"predicting":[158],"normal":[163],"pathological":[165],"states.":[166],"performance":[168],"WRSC":[172],"algorithm":[173,218,238],"compared":[175],"various":[177],"algorithms":[179],"such":[180],"bijective":[182],"soft":[183],"neural":[185],"network":[186],"(BISONN),":[188],"(RST),":[192],"multi-layered":[193],"perceptron":[194],"(MLP),":[195],"decision":[196],"table":[197],"(DT),":[198],"Java":[199],"repeated":[200],"incremental":[201],"pruning":[202],"(JRIP)":[203],"classifier,":[204],"J48":[205],"Na\u00efve":[207],"Bayes":[208],"(NB)":[209],"classifiers.":[210],"experimental":[212],"results":[213,232],"demonstrated":[214],"that":[215,234],"capable":[220],"forecasting":[222],"state":[225],"98.5%":[227],"accuracy,":[229],"show":[233],"performed":[239],"considerably":[240],"superior":[241],"than":[242],"other":[243],"techniques.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
