{"id":"https://openalex.org/W3209334603","doi":"https://doi.org/10.1145/3472813.3472825","title":"A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections","display_name":"A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections","publication_year":2021,"publication_date":"2021-05-14","ids":{"openalex":"https://openalex.org/W3209334603","doi":"https://doi.org/10.1145/3472813.3472825","mag":"3209334603"},"language":"en","primary_location":{"id":"doi:10.1145/3472813.3472825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472813.3472825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Medical and Health Informatics","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/A5008501370","display_name":"Teresa Angela Trunfio","orcid":"https://orcid.org/0000-0003-0929-567X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Teresa Angela Trunfio","raw_affiliation_strings":["Department of Advanced Biomedical Sciences, University Hospital of Naples \"Federico II\", Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Advanced Biomedical Sciences, University Hospital of Naples \"Federico II\", Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066195982","display_name":"Alfonso Maria Ponsiglione","orcid":"https://orcid.org/0000-0003-1346-515X"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfonso Maria Ponsiglione","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples \"Federico II\", Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples \"Federico II\", Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051120745","display_name":"Antonietta Ferrara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134772","display_name":"Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona","ror":"https://ror.org/04etf9p48","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210134772"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonietta Ferrara","raw_affiliation_strings":["\"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"\"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital, Salerno, Italy","institution_ids":["https://openalex.org/I4210134772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004204609","display_name":"Anna Borrelli","orcid":"https://orcid.org/0000-0002-2633-8507"},"institutions":[{"id":"https://openalex.org/I4210134772","display_name":"Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona","ror":"https://ror.org/04etf9p48","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210134772"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Borrelli","raw_affiliation_strings":["\"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"\"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital, Salerno, Italy","institution_ids":["https://openalex.org/I4210134772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078492622","display_name":"Paolo Gargiulo","orcid":"https://orcid.org/0000-0002-5049-4817"},"institutions":[{"id":"https://openalex.org/I123185442","display_name":"Reykjav\u00edk University","ror":"https://ror.org/05d2kyx68","country_code":"IS","type":"education","lineage":["https://openalex.org/I123185442"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Paolo Gargiulo","raw_affiliation_strings":["Reykjavik University, Institute for Biomedical and Neural Engineering, Iceland"],"affiliations":[{"raw_affiliation_string":"Reykjavik University, Institute for Biomedical and Neural Engineering, Iceland","institution_ids":["https://openalex.org/I123185442"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008501370"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4196,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93284086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10453","display_name":"Maternal and Perinatal Health Interventions","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T10453","display_name":"Maternal and Perinatal Health Interventions","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T10209","display_name":"Global Maternal and Child Health","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11389","display_name":"Maternal and fetal healthcare","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5876706838607788},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5713418126106262},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5454117655754089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.542174756526947},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5110803842544556},{"id":"https://openalex.org/keywords/healthcare-delivery","display_name":"Healthcare delivery","score":0.4374850392341614},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.41659799218177795},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3649386763572693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34824439883232117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19041377305984497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09512707591056824},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07412907481193542}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5876706838607788},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5713418126106262},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5454117655754089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542174756526947},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5110803842544556},{"id":"https://openalex.org/C3018457447","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Healthcare delivery","level":3,"score":0.4374850392341614},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.41659799218177795},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3649386763572693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34824439883232117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19041377305984497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09512707591056824},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07412907481193542},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472813.3472825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472813.3472825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5099999904632568,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1993968235","https://openalex.org/W1994510153","https://openalex.org/W2013267442","https://openalex.org/W2042985256","https://openalex.org/W2070550802","https://openalex.org/W2074745524","https://openalex.org/W2075330519","https://openalex.org/W2120246588","https://openalex.org/W2129673488","https://openalex.org/W2142181684","https://openalex.org/W2148462719","https://openalex.org/W2167052359","https://openalex.org/W2413672661","https://openalex.org/W2511435426","https://openalex.org/W2524161204","https://openalex.org/W2767773944","https://openalex.org/W2769437240","https://openalex.org/W2774072613","https://openalex.org/W2799346956","https://openalex.org/W2910770988","https://openalex.org/W2917182165","https://openalex.org/W2925329298","https://openalex.org/W3021033823","https://openalex.org/W3080546209","https://openalex.org/W3094582747","https://openalex.org/W3096917011","https://openalex.org/W3133957411","https://openalex.org/W4254285903"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W4289356671","https://openalex.org/W4363647291","https://openalex.org/W4377094298"],"abstract_inverted_index":{"Cesarean":[0],"section":[1],"(CS)":[2],"is":[3,61],"one":[4],"of":[5,9,27,38,41,58,77,102,113],"the":[6,21,25,32,39,72,75,100,109],"main":[7],"causes":[8,64],"hospitalization":[10],"in":[11,71,74,116],"developed":[12],"countries.":[13],"Although":[14],"no":[15],"benefits":[16],"have":[17],"been":[18],"shown":[19],"for":[20,44,52,96,108],"mother":[22],"and":[23,65,84,92,111],"baby,":[24],"frequency":[26],"CS":[28,78,114],"has":[29],"increased":[30],"over":[31],"past":[33],"few":[34],"decades.":[35],"The":[36,56],"control":[37],"length":[40],"stay":[42],"(LOS)":[43],"such":[45],"a":[46,104],"widespread":[47],"procedure":[48],"therefore":[49],"becomes":[50],"strategic":[51],"any":[53],"healthcare":[54,117],"facility.":[55],"aim":[57],"this":[59],"study":[60],"to":[62,90],"investigate":[63],"factors":[66],"that":[67],"determine":[68],"an":[69],"increase":[70],"LOS":[73,97],"case":[76],"delivery.":[79],"Multiple":[80],"linear":[81],"regression":[82],"analysis":[83],"machine":[85],"learning":[86],"algorithms":[87],"are":[88],"used":[89],"build":[91],"compare":[93],"different":[94],"models":[95],"prediction,":[98],"with":[99],"purpose":[101],"offering":[103],"potential":[105],"support":[106],"tool":[107],"planning":[110],"programming":[112],"procedures":[115],"facilities.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}