{"id":"https://openalex.org/W4404029978","doi":"https://doi.org/10.1109/icccnt61001.2024.10724344","title":"Assessing the Utility of Logistic Regression Models for Pulmonary Effusion Diagnosis","display_name":"Assessing the Utility of Logistic Regression Models for Pulmonary Effusion Diagnosis","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404029978","doi":"https://doi.org/10.1109/icccnt61001.2024.10724344"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724344","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5114515589","display_name":"V K Xavier","orcid":null},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V K Xavier","raw_affiliation_strings":["JAIN (Deemed to be University),School of Mangement - PG,Department of Management,Bangalore,Karnataka,India"],"affiliations":[{"raw_affiliation_string":"JAIN (Deemed to be University),School of Mangement - PG,Department of Management,Bangalore,Karnataka,India","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006934412","display_name":"Sweta Kumari Barnwal","orcid":"https://orcid.org/0000-0003-2116-930X"},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sweta Kumari Barnwal","raw_affiliation_strings":["ARKA JAIN University,Department of Computer Science & IT,Jamshedpur,Jharkhand,India"],"affiliations":[{"raw_affiliation_string":"ARKA JAIN University,Department of Computer Science & IT,Jamshedpur,Jharkhand,India","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086924752","display_name":"Ritu Shree","orcid":"https://orcid.org/0009-0002-8705-4361"},"institutions":[{"id":"https://openalex.org/I4210125057","display_name":"Vivekananda Global University","ror":"https://ror.org/038mz4r36","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210125057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ritu Shree","raw_affiliation_strings":["Vivekananda Global University,Department of Computer Science & Application,Jaipur,India"],"affiliations":[{"raw_affiliation_string":"Vivekananda Global University,Department of Computer Science & Application,Jaipur,India","institution_ids":["https://openalex.org/I4210125057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114515589"],"corresponding_institution_ids":["https://openalex.org/I106826634"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27004131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.6507999897003174,"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":0.6507999897003174,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.6132000088691711,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/logistic-regression","display_name":"Logistic regression","score":0.7826333045959473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5538238883018494},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.43855857849121094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3980417251586914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36186012625694275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33597034215927124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20576885342597961}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7826333045959473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5538238883018494},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.43855857849121094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3980417251586914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36186012625694275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33597034215927124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20576885342597961}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10724344","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2973369606","https://openalex.org/W4292495570","https://openalex.org/W4312238145","https://openalex.org/W4319599305","https://openalex.org/W4383620576","https://openalex.org/W4387308342","https://openalex.org/W4387367680","https://openalex.org/W4388025367","https://openalex.org/W4388936892","https://openalex.org/W4389445919","https://openalex.org/W4389728172","https://openalex.org/W4390697493"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2059099031","https://openalex.org/W4306674287","https://openalex.org/W4367335967","https://openalex.org/W4225160365","https://openalex.org/W2991210157","https://openalex.org/W3046775127","https://openalex.org/W1596769710","https://openalex.org/W1574918455","https://openalex.org/W4394896187"],"abstract_inverted_index":{"Logistic":[0],"regression,":[1],"a":[2,52],"classifier":[3],"algorithm":[4],"that":[5],"estimates":[6],"the":[7,32,39,66,88,97,112,118,131],"chance":[8],"of":[9,19,23,34,41,58,96,121,133],"an":[10],"event":[11],"being":[12],"genuine,":[13],"is":[14],"widely":[15],"employed":[16],"in":[17,21,38],"lots":[18],"fields":[20],"guide":[22],"selection":[24],"making.":[25],"In":[26],"this":[27],"look":[28],"at,":[29],"we":[30,64],"discover":[31],"application":[33],"logistic":[35,48,101,122],"regression":[36,49,102,123],"fashions":[37,74,124],"analysis":[40],"pulmonary":[42,91,126],"effusions.":[43],"We":[44,71],"educate":[45],"and":[46,84,107],"examine":[47],"models":[50],"with":[51,75],"Cagle":[53],"dataset":[54],"containing":[55],"clinical":[56,134],"photographs":[57],"numerous":[59],"radiologic":[60],"research,":[61],"from":[62],"which":[63],"extract":[65],"applicable":[67],"features":[68],"for":[69,90,125],"prognosis.":[70],"compare":[72],"our":[73],"different":[76],"well":[77],"known":[78],"gadget":[79],"studying":[80],"algorithms,":[81],"like":[82],"SVM":[83],"okay-NN,":[85],"to":[86,111,129],"decide":[87],"effectiveness":[89],"effusion":[92,127],"diagnosis.":[93],"The":[94],"effects":[95],"assessment":[98],"confirmed":[99],"that,":[100],"had":[103],"better":[104],"accuracy,":[105],"sensitivity,":[106],"specificity":[108],"as":[109],"compared":[110],"opposite":[113],"algorithms.":[114],"These":[115],"outcomes":[116],"highlight":[117],"ability":[119],"use":[120],"prognosis":[128],"improve":[130],"accuracy":[132],"choices.":[135]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}