{"id":"https://openalex.org/W2405206665","doi":"https://doi.org/10.1109/tcyb.2016.2561974","title":"Multi-Step Ahead Predictions for Critical Levels in Physiological Time Series","display_name":"Multi-Step Ahead Predictions for Critical Levels in Physiological Time Series","publication_year":2016,"publication_date":"2016-05-25","ids":{"openalex":"https://openalex.org/W2405206665","doi":"https://doi.org/10.1109/tcyb.2016.2561974","mag":"2405206665","pmid":"https://pubmed.ncbi.nlm.nih.gov/27244754"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2016.2561974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2561974","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5025300030","display_name":"Hisham ElMoaqet","orcid":"https://orcid.org/0000-0003-3698-3216"},"institutions":[{"id":"https://openalex.org/I230091363","display_name":"German Jordanian University","ror":"https://ror.org/02jgpyd84","country_code":"JO","type":"education","lineage":["https://openalex.org/I230091363"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["JO","US"],"is_corresponding":false,"raw_author_name":"Hisham ElMoaqet","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","Department of Mechatronics Engineering, German Jordanian University, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Mechatronics Engineering, German Jordanian University, Amman, Jordan","institution_ids":["https://openalex.org/I230091363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025730901","display_name":"Dawn M. Tilbury","orcid":"https://orcid.org/0000-0002-2510-0556"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawn M. Tilbury","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049073539","display_name":"Satya Krishna Ramachandran","orcid":"https://orcid.org/0000-0002-7176-6375"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satya Krishna Ramachandran","raw_affiliation_strings":["Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1825,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96433895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"7","first_page":"1704","last_page":"1714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9886999726295471,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.973800003528595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7676559686660767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822775602340698},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5552446842193604},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47447851300239563},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43635863065719604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43628638982772827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004186987876892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35778093338012695},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33262407779693604},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08502024412155151}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7676559686660767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822775602340698},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5552446842193604},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47447851300239563},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43635863065719604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43628638982772827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004186987876892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35778093338012695},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33262407779693604},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08502024412155151},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2016.2561974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2561974","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:27244754","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27244754","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1725462869","display_name":null,"funder_award_id":"2UL1TR000433","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W166169566","https://openalex.org/W1519645508","https://openalex.org/W1545241942","https://openalex.org/W1564121197","https://openalex.org/W1644997609","https://openalex.org/W1663973292","https://openalex.org/W1788497923","https://openalex.org/W1968801785","https://openalex.org/W1981886020","https://openalex.org/W1983321018","https://openalex.org/W1993470837","https://openalex.org/W1995699943","https://openalex.org/W1999318832","https://openalex.org/W2014928429","https://openalex.org/W2018346699","https://openalex.org/W2019652008","https://openalex.org/W2022832715","https://openalex.org/W2026886773","https://openalex.org/W2031490503","https://openalex.org/W2035857772","https://openalex.org/W2038343656","https://openalex.org/W2043597473","https://openalex.org/W2066358036","https://openalex.org/W2068152461","https://openalex.org/W2101539208","https://openalex.org/W2104960492","https://openalex.org/W2109053803","https://openalex.org/W2112341373","https://openalex.org/W2132115169","https://openalex.org/W2132515539","https://openalex.org/W2148288476","https://openalex.org/W2150248172","https://openalex.org/W2156860815","https://openalex.org/W2159164703","https://openalex.org/W2162263830","https://openalex.org/W2541503923","https://openalex.org/W2899577652","https://openalex.org/W4212863985","https://openalex.org/W4254721730","https://openalex.org/W6602002561","https://openalex.org/W6631045992"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W4240842027","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2896815346","https://openalex.org/W3028882978","https://openalex.org/W1487766990"],"abstract_inverted_index":{"Standard":[0],"modeling":[1],"and":[2,27,139],"evaluation":[3],"methods":[4,32],"have":[5,33],"been":[6,34],"classically":[7],"used":[8,113,143],"in":[9,95],"analyzing":[10],"engineering":[11],"dynamical":[12],"systems":[13],"where":[14],"the":[15,21,25,130,146,159],"fundamental":[16],"problem":[17],"is":[18,44,102,112],"to":[19,36,48,55,114,121,144,151],"minimize":[20],"(mean)":[22],"error":[23],"between":[24],"real":[26],"predicted":[28],"systems.":[29],"Although":[30],"these":[31,57],"applied":[35],"multi-step":[37,87,106],"ahead":[38,88,107],"predictions":[39,89,122],"of":[40,78,90,93,123,126,132,162],"physiological":[41,66,96],"signals,":[42],"it":[43],"often":[45],"more":[46],"important":[47],"predict":[49],"clinically":[50,70],"relevant":[51],"events":[52],"than":[53],"just":[54],"match":[56],"signals.":[58,97],"Adverse":[59],"clinical":[60],"events,":[61,134],"which":[62],"occur":[63],"after":[64],"a":[65,69,75,84,99],"signal":[67],"breaches":[68],"defined":[71],"critical":[72,91,124],"threshold,":[73],"are":[74,142],"popular":[76],"class":[77],"such":[79,163],"events.":[80,164],"This":[81],"paper":[82],"presents":[83],"framework":[85,148],"for":[86,104],"levels":[92,125],"abnormality":[94],"First,":[98],"performance":[100],"metric":[101,111],"presented":[103],"evaluating":[105],"predictions.":[108],"Then,":[109],"this":[110],"identify":[115],"personalized":[116],"models":[117],"optimized":[118],"with":[119,149],"respect":[120,150],"abnormality.":[127],"To":[128],"address":[129],"paucity":[131],"adverse":[133],"weighted":[135],"support":[136],"vector":[137],"machines":[138],"cost-sensitive":[140],"learning":[141],"optimize":[145],"proposed":[147],"statistical":[152],"metrics":[153],"that":[154],"can":[155],"take":[156],"into":[157],"account":[158],"relative":[160],"rarity":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2016-06-24T00:00:00"}