{"id":"https://openalex.org/W2712191964","doi":"https://doi.org/10.1109/ccece.2017.7946641","title":"A PCA based feature reduction in intracranial hypertension analysis","display_name":"A PCA based feature reduction in intracranial hypertension analysis","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2712191964","doi":"https://doi.org/10.1109/ccece.2017.7946641","mag":"2712191964"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2017.7946641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5062779798","display_name":"Parisa Naraei","orcid":"https://orcid.org/0000-0003-4165-6789"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Parisa Naraei","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101846166","display_name":"Alireza Sadeghian","orcid":"https://orcid.org/0000-0002-7889-3772"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Sadeghian","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062779798"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.5271,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.68294993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9614999890327454,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.6766660213470459},{"id":"https://openalex.org/keywords/intracranial-pressure","display_name":"Intracranial pressure","score":0.6370678544044495},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5299117565155029},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5103902220726013},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47517815232276917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4369143843650818},{"id":"https://openalex.org/keywords/skull","display_name":"Skull","score":0.4245200753211975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2504264712333679},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.17474326491355896}],"concepts":[{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.6766660213470459},{"id":"https://openalex.org/C2780954326","wikidata":"https://www.wikidata.org/wiki/Q1416096","display_name":"Intracranial pressure","level":2,"score":0.6370678544044495},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5299117565155029},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5103902220726013},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47517815232276917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4369143843650818},{"id":"https://openalex.org/C2779300802","wikidata":"https://www.wikidata.org/wiki/Q13147","display_name":"Skull","level":2,"score":0.4245200753211975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2504264712333679},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.17474326491355896},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2017.7946641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1558416165","https://openalex.org/W1986686551","https://openalex.org/W2067448822","https://openalex.org/W2067543520","https://openalex.org/W2094013107","https://openalex.org/W2118934859","https://openalex.org/W2145886191","https://openalex.org/W2146078492","https://openalex.org/W2164399493","https://openalex.org/W2169040237","https://openalex.org/W2479160124","https://openalex.org/W2496323672","https://openalex.org/W2604104199","https://openalex.org/W2793110335","https://openalex.org/W6684191064","https://openalex.org/W6749051672"],"related_works":["https://openalex.org/W2989335918","https://openalex.org/W3181986648","https://openalex.org/W3210000287","https://openalex.org/W2982784569"],"abstract_inverted_index":{"Traumatic":[0],"brain":[1],"injury":[2],"(TBI)":[3],"and":[4,65,122,133],"its":[5],"complications,":[6],"including":[7],"intracranial":[8,28,40],"hypertension,":[9],"are":[10,42],"one":[11],"of":[12,16,27,39,51,95,110,127,145],"the":[13,25,55,59,96,128,134],"leading":[14],"causes":[15],"mortality.":[17],"Many":[18],"proposed":[19],"algorithms":[20],"have":[21],"attempted":[22],"to":[23,79],"overcome":[24],"invasiveness":[26],"pressure":[29],"monitoring":[30],"with":[31,140],"limited":[32],"clinical":[33,46],"applications.":[34],"In":[35,69],"medical":[36],"practices,":[37],"changes":[38],"hypertension":[41],"perceived":[43],"manually,":[44],"by":[45],"experts,":[47],"via":[48],"surgical":[49],"placement":[50],"intraventricular":[52],"catheters":[53],"in":[54],"patient's":[56],"skull.":[57],"However,":[58],"method":[60],"is":[61,115],"invasive,":[62],"time":[63],"consuming":[64],"has":[66,76,86,130],"poor":[67],"reproducibility.":[68],"this":[70],"paper,":[71],"a":[72,137,141],"principal":[73],"component":[74],"analysis":[75,85,97],"been":[77,87,131],"conducted":[78],"perform":[80],"non-correlated":[81],"feature":[82],"selection.":[83],"An":[84],"performed":[88],"on":[89],"31":[90],"TBI":[91,111],"patients.":[92,112],"The":[93,113,125],"result":[94],"illustrates":[98],"that":[99],"two":[100],"components":[101,129],"can":[102],"be":[103],"extracted":[104],"from":[105],"routinely":[106],"collected":[107],"physiological":[108],"signals":[109],"finding":[114],"evaluated":[116],"using":[117],"Kaiser's":[118],"Criterion,":[119],"Scree":[120],"test":[121],"parallel":[123],"analysis.":[124],"predictivity":[126],"tested":[132],"results":[135],"show":[136],"promising":[138],"accuracy":[139],"mean":[142],"absolute":[143],"error":[144],"0.025.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}