{"id":"https://openalex.org/W4289545751","doi":"https://doi.org/10.17762/ijritcc.v10i7.5571","title":"Predicting The Discharge of Patients Via Machine Learning Based Discharge Predictive Model","display_name":"Predicting The Discharge of Patients Via Machine Learning Based Discharge Predictive Model","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289545751","doi":"https://doi.org/10.17762/ijritcc.v10i7.5571"},"language":"en","primary_location":{"id":"doi:10.17762/ijritcc.v10i7.5571","doi":"https://doi.org/10.17762/ijritcc.v10i7.5571","is_oa":true,"landing_page_url":"https://doi.org/10.17762/ijritcc.v10i7.5571","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/5571/5442","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4289545751"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijritcc.org/index.php/ijritcc/article/download/5571/5442","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073176861","display_name":"Salma Fauzia","orcid":"https://orcid.org/0000-0002-8539-4760","observed_orcids":["https://orcid.org/0000-0002-8539-4760"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salma Fauzia","raw_affiliation_strings":["Muffakham Jah College of Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muffakham Jah College of Engineering and Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Romana Anjum","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Romana Anjum","raw_affiliation_strings":["Muffakham Jah College of Engineering and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muffakham Jah College of Engineering and Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1244,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41845539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"10","issue":"7","first_page":"58","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9883000254631042,"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":0.9883000254631042,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7919999957084656},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8899999856948853},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.9580000042915344},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7229999899864197},{"id":"https://openalex.org/keywords/hospital-patient-data","display_name":"hospital patient data","score":0.6179999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804889440536499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6572396755218506},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6440032124519348},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6365212202072144},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6269527077674866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5785932540893555},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.46005484461784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36181166768074036}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17762/ijritcc.v10i7.5571","doi":"https://doi.org/10.17762/ijritcc.v10i7.5571","is_oa":true,"landing_page_url":"https://doi.org/10.17762/ijritcc.v10i7.5571","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/5571/5442","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17762/ijritcc.v10i7.5571","doi":"https://doi.org/10.17762/ijritcc.v10i7.5571","is_oa":true,"landing_page_url":"https://doi.org/10.17762/ijritcc.v10i7.5571","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/5571/5442","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9763000011444092,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289545751.pdf","grobid_xml":"https://content.openalex.org/works/W4289545751.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2806255535","https://openalex.org/W2896051280","https://openalex.org/W2899859722","https://openalex.org/W2913240367","https://openalex.org/W2951471755","https://openalex.org/W3087893815","https://openalex.org/W3094041170","https://openalex.org/W3130376580","https://openalex.org/W3131571875","https://openalex.org/W3187059187","https://openalex.org/W4214939830","https://openalex.org/W4248009001","https://openalex.org/W4288763000","https://openalex.org/W4289351942"],"related_works":["https://openalex.org/W2948570049","https://openalex.org/W4412840881","https://openalex.org/W6922257671","https://openalex.org/W4372347581","https://openalex.org/W4404463516","https://openalex.org/W3212899834","https://openalex.org/W4399878777","https://openalex.org/W7165109034","https://openalex.org/W3113453271","https://openalex.org/W7084231928"],"abstract_inverted_index":{"The":[0,28,42,60,98,122],"primary":[1],"objective":[2],"of":[3,25,30,56,100,108,124],"the":[4,23,31,50,101,125,130],"work":[5,44],"is":[6,36,45,68,104,112],"to":[7,21],"create":[8],"a":[9,26],"discharge":[10,24,33],"roster":[11],"for":[12],"patients":[13,57],"by":[14,70],"employing":[15],"various":[16,39,92,115],"machine":[17,61],"learning":[18,62,133],"techniques":[19,117],"and":[20,84,95,110,120],"predict":[22],"patient.":[27],"performance":[29,40,99],"proposed":[32,102,131],"predictive":[34,132],"model":[35,103,134],"measured":[37,105],"through":[38],"measures.":[41],"research":[43],"carried":[46],"out":[47],"based":[48,64],"on":[49],"dataset":[51],"formed":[52],"with":[53,89,114],"actual":[54],"data":[55],"in":[58,106],"hospital.":[59],"(ML)":[63],"Discharge":[65],"Predictive":[66],"Model":[67],"developed":[69],"combining":[71],"well":[72],"known":[73],"ML":[74,140],"algorithms":[75],"like":[76,118],"K-Nearest":[77],"Neighbour":[78],"(KNN)":[79],"algorithm,":[80],"Random":[81],"Forests":[82],"algorithm":[83,88],"Light":[85],"Gradient":[86],"Boosting":[87],"optimum":[90],"parameters,":[91],"feature":[93],"combinations":[94],"pre-processing":[96],"techniques.":[97,141],"terms":[107],"accuracy":[109,137],"it":[111],"compared":[113],"existing":[116],"SVM":[119],"NN.":[121],"result":[123],"comparison":[126],"study":[127],"exhibit":[128],"that":[129],"attained":[135],"enhanced":[136],"than":[138],"other":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-08-03T00:00:00"}