{"id":"https://openalex.org/W3128078870","doi":"https://doi.org/10.1109/bibm49941.2020.9313401","title":"Additional Value of Augmenting Current Subscales in Braden Scale with Advanced Machine Learning Technique for Pressure Injury Risk Assessment","display_name":"Additional Value of Augmenting Current Subscales in Braden Scale with Advanced Machine Learning Technique for Pressure Injury Risk Assessment","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128078870","doi":"https://doi.org/10.1109/bibm49941.2020.9313401","mag":"3128078870"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5060770820","display_name":"Kathan Vyas","orcid":"https://orcid.org/0000-0002-8755-9207"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]},{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kathan Vyas","raw_affiliation_strings":["Augmented Cognition Lab, Northeastern University, Boston, United States","Philips Research North America, Cambridge, United States"],"affiliations":[{"raw_affiliation_string":"Augmented Cognition Lab, Northeastern University, Boston, United States","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]},{"raw_affiliation_string":"Philips Research North America, Cambridge, United States","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077553473","display_name":"Ali Akbar Samadani","orcid":"https://orcid.org/0000-0003-2701-9943"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Samadani","raw_affiliation_strings":["Philips Research North America, Cambridge, United States"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Cambridge, United States","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743220","display_name":"Mladen Milo\u0161evi\u0107","orcid":"https://orcid.org/0000-0002-3240-8516"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mladen Milosevic","raw_affiliation_strings":["Philips Research North America, Cambridge, United States"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Cambridge, United States","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031787107","display_name":"Sarah Ostadabbas","orcid":"https://orcid.org/0000-0002-2216-9988"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Ostadabbas","raw_affiliation_strings":["Augmented Cognition Lab, Northeastern University, Boston, United States"],"affiliations":[{"raw_affiliation_string":"Augmented Cognition Lab, Northeastern University, Boston, United States","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011253727","display_name":"Saman Parvaneh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saman Parvaneh","raw_affiliation_strings":["Philips Research North America, Cambridge, United States"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Cambridge, United States","institution_ids":["https://openalex.org/I4210131230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060770820"],"corresponding_institution_ids":["https://openalex.org/I111088046","https://openalex.org/I12912129","https://openalex.org/I4210131230"],"apc_list":null,"apc_paid":null,"fwci":2.3797,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89272702,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"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/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"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/T10867","display_name":"Intensive Care Unit Cognitive Disorders","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/T10322","display_name":"Respiratory Support and Mechanisms","score":0.9466000199317932,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/intensive-care-unit","display_name":"Intensive care unit","score":0.6442742943763733},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.5993282794952393},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5803685188293457},{"id":"https://openalex.org/keywords/pressure-injury","display_name":"Pressure injury","score":0.4993414878845215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45569294691085815},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4464266002178192},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.4411848485469818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4154432415962219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37166252732276917},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.303338885307312},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.29753929376602173},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09192889928817749}],"concepts":[{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.6442742943763733},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.5993282794952393},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5803685188293457},{"id":"https://openalex.org/C2909464295","wikidata":"https://www.wikidata.org/wiki/Q308978","display_name":"Pressure injury","level":2,"score":0.4993414878845215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45569294691085815},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4464266002178192},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.4411848485469818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4154432415962219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37166252732276917},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.303338885307312},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.29753929376602173},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09192889928817749},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5600000023841858,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W48332878","https://openalex.org/W153202425","https://openalex.org/W1489295663","https://openalex.org/W1542094033","https://openalex.org/W1814607599","https://openalex.org/W1970804146","https://openalex.org/W1988822237","https://openalex.org/W2070080552","https://openalex.org/W2070276954","https://openalex.org/W2110097053","https://openalex.org/W2327020819","https://openalex.org/W2380198229","https://openalex.org/W2396881363","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W1942119873","https://openalex.org/W3048197910","https://openalex.org/W2119024497","https://openalex.org/W2883256220"],"abstract_inverted_index":{"Hospital-acquired":[0],"pressure":[1],"injuries":[2],"(PI)":[3],"are":[4],"associated":[5],"with":[6],"longer":[7],"hospital":[8],"stays,":[9],"pain,":[10],"infection,":[11],"and":[12,44,82,86,91],"higher":[13],"care":[14,58],"costs.":[15],"The":[16],"traditional":[17],"assessment":[18,30,54,68],"techniques":[19],"such":[20],"as":[21,47],"Braden":[22,45,102],"scale,":[23],"the":[24,101],"most":[25],"widely":[26],"used":[27],"PI":[28,52,66],"risk":[29,53,67],"tool,":[31],"lack":[32],"predictive":[33],"power.":[34],"This":[35],"study":[36],"implements":[37],"a":[38,71],"machine":[39,96],"learning":[40],"algorithm":[41,69],"using":[42],"XGBoost":[43],"subscales":[46],"its":[48],"input":[49],"features":[50],"for":[51,94],"in":[55,89],"intensive":[56],"unit":[57],"(ICU)":[59],"patients.":[60],"We":[61],"have":[62,83],"evaluated":[63],"our":[64,95],"proposed":[65],"on":[70],"test":[72],"dataset":[73],"of":[74],"2,657":[75],"patients":[76],"(PI":[77],"prevalence":[78],"equals":[79],"to":[80,100],"17.57%)":[81],"obtained":[84],"5.9%":[85],"3.1%":[87],"improvement":[88],"sensitivity":[90],"specificity":[92],"respectively":[93],"learning-based":[97],"approach":[98],"compared":[99],"scale.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}