{"id":"https://openalex.org/W4306168057","doi":"https://doi.org/10.1109/jbhi.2022.3214343","title":"Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection","display_name":"Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4306168057","doi":"https://doi.org/10.1109/jbhi.2022.3214343","pmid":"https://pubmed.ncbi.nlm.nih.gov/36227825"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3214343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3214343","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9973412/09918050.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/9973412/09918050.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079863737","display_name":"Chetanya Puri","orcid":"https://orcid.org/0000-0002-3474-4898"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chetanya Puri","raw_affiliation_strings":["e-Media Lab, Campus Groep T, STADIUS, Department of Electrical Engineering, KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-3474-4898","affiliations":[{"raw_affiliation_string":"e-Media Lab, Campus Groep T, STADIUS, Department of Electrical Engineering, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025512730","display_name":"Gerben Kooijman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerben Kooijman","raw_affiliation_strings":["Philips Research, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016823997","display_name":"Bart Vanrumste","orcid":"https://orcid.org/0000-0002-9409-935X"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Vanrumste","raw_affiliation_strings":["e-Media Lab, Campus Groep T, STADIUS, Department of Electrical Engineering, KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-9409-935X","affiliations":[{"raw_affiliation_string":"e-Media Lab, Campus Groep T, STADIUS, Department of Electrical Engineering, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018787960","display_name":"Stijn Luca","orcid":"https://orcid.org/0000-0002-6781-7870"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Stijn Luca","raw_affiliation_strings":["Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-6781-7870","affiliations":[{"raw_affiliation_string":"Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6663,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90797011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"12","first_page":"6126","last_page":"6137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991999864578247,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9793999791145325,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9679999947547913,"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/computer-science","display_name":"Computer science","score":0.7574795484542847},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6837736368179321},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6830723285675049},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.667839765548706},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6154729723930359},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6026278734207153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5072686076164246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48891201615333557},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46630871295928955},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4595474302768707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44358396530151367},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.42882615327835083},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39034533500671387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574795484542847},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6837736368179321},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6830723285675049},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.667839765548706},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6154729723930359},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6026278734207153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5072686076164246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48891201615333557},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46630871295928955},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4595474302768707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44358396530151367},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.42882615327835083},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39034533500671387},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003695","descriptor_name":"Delivery of Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003695","descriptor_name":"Delivery of Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003695","descriptor_name":"Delivery of Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2022.3214343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3214343","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9973412/09918050.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:36227825","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36227825","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/708183","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/708183","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Journal Of Biomedical And Health Informatics, vol. 26 (12), (6126-6137)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:archive.ugent.be:8770089","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/8770089","pdf_url":"https://biblio.ugent.be/publication/8770089/file/01GKV8600H0BPF3C1715PNT27M.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 2168-2208","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/jbhi.2022.3214343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3214343","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9973412/09918050.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6102844168","display_name":"HEalth related Activity Recognition system based on IoT \u2013 an interdisciplinary training program for young researchers","funder_award_id":"766139","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306168057.pdf","grobid_xml":"https://content.openalex.org/works/W4306168057.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1491931038","https://openalex.org/W1502922572","https://openalex.org/W1522301498","https://openalex.org/W1544274373","https://openalex.org/W1580216809","https://openalex.org/W1847168837","https://openalex.org/W1924770834","https://openalex.org/W1953027527","https://openalex.org/W1977900532","https://openalex.org/W2055656148","https://openalex.org/W2064675550","https://openalex.org/W2069508080","https://openalex.org/W2078999613","https://openalex.org/W2091921805","https://openalex.org/W2106981782","https://openalex.org/W2109030727","https://openalex.org/W2117829824","https://openalex.org/W2136250824","https://openalex.org/W2155513557","https://openalex.org/W2157331557","https://openalex.org/W2161212576","https://openalex.org/W2195342085","https://openalex.org/W2283896980","https://openalex.org/W2555077524","https://openalex.org/W2604847698","https://openalex.org/W2625178737","https://openalex.org/W2794778778","https://openalex.org/W2947722222","https://openalex.org/W2962769218","https://openalex.org/W2965097915","https://openalex.org/W2965878453","https://openalex.org/W2979840928","https://openalex.org/W2979929241","https://openalex.org/W3031176687","https://openalex.org/W3084949122","https://openalex.org/W4240592325","https://openalex.org/W4297733079","https://openalex.org/W4298826872","https://openalex.org/W6604828220","https://openalex.org/W6631190155","https://openalex.org/W6634689341","https://openalex.org/W6640212811","https://openalex.org/W6718367848","https://openalex.org/W6739654316","https://openalex.org/W6746437025","https://openalex.org/W7011406682","https://openalex.org/W7019558294"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2030799363","https://openalex.org/W2950183183","https://openalex.org/W2609942398","https://openalex.org/W2764033112","https://openalex.org/W3092399163","https://openalex.org/W3134489511","https://openalex.org/W4380451100","https://openalex.org/W2772616816","https://openalex.org/W4205256820"],"abstract_inverted_index":{"Modelling":[0],"real-world":[1,179],"time":[2,33,111,126,134,143],"series":[3,34,127,135],"can":[4,17,98],"be":[5,99],"challenging":[6],"in":[7,15,79,101,110,116],"the":[8,24,31,69,77,83,102,117,133,141,153,158,166,188],"absence":[9,103],"of":[10,26,85,88,104,119,136],"sufficient":[11,105],"data.":[12,89],"Limited":[13],"data":[14,59,106,156,177],"healthcare,":[16],"arise":[18],"for":[19,62,71,107,165],"several":[20],"reasons,":[21],"namely":[22],"when":[23,48],"number":[25],"subjects":[27],"is":[28,35,45,75,150],"insufficient":[29],"or":[30],"observed":[32],"irregularly":[36],"sampled":[37],"at":[38],"a":[39,93,120,146],"very":[40],"low":[41],"sampling":[42],"frequency.":[43],"This":[44,90],"especially":[46],"true":[47],"attempting":[49],"to":[50,124,161,182],"develop":[51],"personalised":[52,95,163],"models,":[53],"as":[54,140],"there":[55],"are":[56],"typically":[57],"few":[58],"points":[60],"available":[61],"training":[63],"from":[64,178],"an":[65],"individual":[66],"subject.":[67,168],"Furthermore,":[68],"need":[70],"early":[72,108],"prediction":[73,109],"(as":[74],"often":[76],"case":[78],"healthcare":[80,180],"applications)":[81],"amplifies":[82],"problem":[84],"limited":[86],"availability":[87],"article":[91],"proposes":[92],"novel":[94],"technique":[96],"that":[97,128,184],"learned":[100,151],"series.":[112,144],"Our":[113],"novelty":[114],"lies":[115],"development":[118],"subset":[121,160],"selection":[122],"approach":[123],"select":[125],"share":[129],"temporal":[130],"similarities":[131],"with":[132,173],"interest,":[137],"commonly":[138],"known":[139],"test":[142,155,167],"Then,":[145],"Gaussian":[147],"processes-based":[148],"model":[149],"using":[152],"existing":[154],"and":[157,175],"chosen":[159],"produce":[162],"predictions":[164],"We":[169],"will":[170],"conduct":[171],"experiments":[172],"univariate":[174],"multivariate":[176],"applications":[181],"show":[183],"our":[185],"strategy":[186],"outperforms":[187],"state-of-the-art":[189],"by":[190],"around":[191],"20%.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
