{"id":"https://openalex.org/W3202096274","doi":"https://doi.org/10.1145/3460418.3479389","title":"Nurse Care Activity Recognition: A Cost-Sensitive Ensemble Approach to Handle Imbalanced Class Problem in the Wild","display_name":"Nurse Care Activity Recognition: A Cost-Sensitive Ensemble Approach to Handle Imbalanced Class Problem in the Wild","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3202096274","doi":"https://doi.org/10.1145/3460418.3479389","mag":"3202096274"},"language":"en","primary_location":{"id":"doi:10.1145/3460418.3479389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460418.3479389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","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/A5084790378","display_name":"Arafat Rahman","orcid":"https://orcid.org/0000-0003-4616-6957"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Arafat Rahman","raw_affiliation_strings":["University of Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055193969","display_name":"Iqbal Hassan","orcid":"https://orcid.org/0009-0009-8679-0536"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Iqbal Hassan","raw_affiliation_strings":["University of Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049700514","display_name":"Md Atiqur Rahman Ahad","orcid":"https://orcid.org/0000-0001-8355-7004"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Atiqur Rahman Ahad","raw_affiliation_strings":["University of Dhaka and Osaka University, Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Dhaka and Osaka University, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084790378"],"corresponding_institution_ids":["https://openalex.org/I205746353"],"apc_list":null,"apc_paid":null,"fwci":1.2646,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85772196,"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":"440","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9836000204086304,"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":0.9836000204086304,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9404000043869019,"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"}},{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9315999746322632,"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/class","display_name":"Class (philosophy)","score":0.5812526941299438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5664607882499695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44057056307792664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3620585501194},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.3528842329978943},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19884315133094788}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5812526941299438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5664607882499695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44057056307792664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3620585501194},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.3528842329978943},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19884315133094788}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460418.3479389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460418.3479389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W218853445","https://openalex.org/W1568060748","https://openalex.org/W1971361999","https://openalex.org/W1995444109","https://openalex.org/W2023302299","https://openalex.org/W2059732136","https://openalex.org/W2091007025","https://openalex.org/W2107138773","https://openalex.org/W2542719558","https://openalex.org/W2552204624","https://openalex.org/W2953961724","https://openalex.org/W2972454934","https://openalex.org/W2972598116","https://openalex.org/W2972973078","https://openalex.org/W2973102973","https://openalex.org/W2973175552","https://openalex.org/W3007383329","https://openalex.org/W3008634715","https://openalex.org/W3084774745","https://openalex.org/W3085218293","https://openalex.org/W3085832657","https://openalex.org/W3203639590","https://openalex.org/W4245969961"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Nurse":[0,168],"care":[1],"activity":[2,13],"recognition":[3,14],"is":[4,52],"a":[5,79,82,111,124],"recent":[6],"but":[7],"demanding":[8],"study":[9],"topic":[10],"in":[11,150,157],"human":[12],"(HAR)":[15],"since":[16],"it":[17],"has":[18],"high":[19],"class":[20,64,92],"imbalance":[21,36],"and":[22,31,58,71,136],"intra-class":[23],"variability":[24],"problem":[25],"depending":[26],"on":[27,99],"both":[28],"the":[29,32,63,67,91,121],"patient":[30],"receiver.":[33],"Although":[34],"traditional":[35],"learning":[37],"approaches":[38],"are":[39],"offered":[40],"to":[41,69,94,119],"address":[42],"this":[43,75,162],"issue,":[44],"they":[45],"have":[46],"several":[47],"limitations:":[48],"1)":[49],"important":[50],"information":[51],"lost":[53],"while":[54,131],"using":[55],"undersampling":[56],"approaches,":[57],"2)":[59],"oversampling":[60],"methods":[61],"shifts":[62],"distribution,":[65],"exposing":[66],"model":[68],"overfitting":[70],"over-optimism.":[72],"To":[73],"tackle":[74],"problem,":[76],"we":[77,103,143],"present":[78],"framework":[80],"for":[81,165],"cost-sensitive":[83],"hybrid":[84,141],"optimum":[85],"ensemble":[86],"classifier.":[87],"Our":[88],"technique":[89,116],"modified":[90],"weights":[93],"impose":[95],"higher":[96],"misclassification":[97],"costs":[98],"minority":[100],"classes.":[101],"Then":[102],"combined":[104],"different":[105],"weighted":[106],"base":[107,129],"classifier":[108],"outputs":[109],"with":[110],"stacked":[112],"generalization":[113],"method.":[114],"This":[115],"allowed":[117],"us":[118],"leverage":[120],"skills":[122],"of":[123,127],"varied":[125],"collection":[126],"high-performing":[128],"learners":[130],"balancing":[132],"each":[133],"other\u2019s":[134],"limitations":[135],"strengths.":[137],"By":[138],"utilizing":[139],"our":[140],"technique,":[142],"achieved":[144],"70.8%":[145],"average":[146],"cross-validation":[147],"balanced":[148],"accuracy":[149],"classifying":[151],"28":[152],"activities":[153],"conducted":[154],"by":[155],"nurses":[156],"real-life":[158],"settings.":[159],"We":[160],"developed":[161],"algorithmic":[163],"pipeline":[164],"\u201cThe":[166],"3rd":[167],"Care":[169],"Activity":[170],"Recognition":[171],"Challenge\u201d":[172],"at":[173],"ACM":[174],"UbiComp":[175],"2021.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
