{"id":"https://openalex.org/W2606054163","doi":"https://doi.org/10.1109/bhi.2017.7897295","title":"Estimation of New York Heart Association class in heart failure patients based on machine learning techniques","display_name":"Estimation of New York Heart Association class in heart failure patients based on machine learning techniques","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2606054163","doi":"https://doi.org/10.1109/bhi.2017.7897295","mag":"2606054163"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2017.7897295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","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/A5015092809","display_name":"Evanthia E. Tripoliti","orcid":"https://orcid.org/0000-0002-8201-2202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evanthia E. Tripoliti","raw_affiliation_strings":["Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101852860","display_name":"Theofilos Papadopoulos","orcid":"https://orcid.org/0000-0003-1565-3875"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Theofilos G. Papadopoulos","raw_affiliation_strings":["Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088807604","display_name":"Georgia S. Karanasiou","orcid":"https://orcid.org/0000-0001-9478-0375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgia S. Karanasiou","raw_affiliation_strings":["Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003691239","display_name":"Fanis Kalatzis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanis G. Kalatzis","raw_affiliation_strings":["Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028656781","display_name":"Aris Bechlioulis","orcid":"https://orcid.org/0000-0003-1721-2539"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aris Bechlioulis","raw_affiliation_strings":["2nd Department of Cardiology, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2nd Department of Cardiology, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043155416","display_name":"Yorgos Goletsis","orcid":"https://orcid.org/0000-0002-6227-0810"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yorgos Goletsis","raw_affiliation_strings":["Department of Economics, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025715284","display_name":"Katerina \u039a. Naka","orcid":"https://orcid.org/0000-0002-9900-9659"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Katerina K. Naka","raw_affiliation_strings":["2nd Department of Cardiology, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2nd Department of Cardiology, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057894101","display_name":"Dimitrios I. Fotiadis","orcid":"https://orcid.org/0000-0002-5987-9350"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios I. Fotiadis","raw_affiliation_strings":["Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece","Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Ioannina, Greece","institution_ids":[]},{"raw_affiliation_string":"Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0888,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79599525,"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":"421","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6999374628067017},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6634719967842102},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6564077138900757},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6084949970245361},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.5987812876701355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5500562787055969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5437054634094238},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5069263577461243},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43452176451683044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41134801506996155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4088478088378906},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17997601628303528},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14788222312927246}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6999374628067017},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6634719967842102},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6564077138900757},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6084949970245361},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.5987812876701355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5500562787055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5437054634094238},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5069263577461243},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43452176451683044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41134801506996155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4088478088378906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17997601628303528},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14788222312927246},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2017.7897295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W70629753","https://openalex.org/W94829366","https://openalex.org/W1885841701","https://openalex.org/W1952558958","https://openalex.org/W1987402444","https://openalex.org/W2024305570","https://openalex.org/W2035510150","https://openalex.org/W2105095326","https://openalex.org/W2120716022","https://openalex.org/W2139460367","https://openalex.org/W2148143831","https://openalex.org/W2181350280","https://openalex.org/W2217499325","https://openalex.org/W2427094903","https://openalex.org/W2519192455","https://openalex.org/W2533139507","https://openalex.org/W2553101787","https://openalex.org/W3103913776","https://openalex.org/W6646986836","https://openalex.org/W6717780947"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W1998176685","https://openalex.org/W2138381686","https://openalex.org/W2141585124","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0,31,48,85,100],"aim":[1],"of":[2,15,35,50,53,58,93],"this":[3],"work":[4],"is":[5,61,88,104],"to":[6],"present":[7],"an":[8],"automated":[9],"method":[10,33,87],"for":[11,67,109],"the":[12,51,68,110,114],"early":[13],"identification":[14],"New":[16],"York":[17],"Heart":[18],"Association":[19],"(NYHA)":[20],"class":[21,60,73,116],"change":[22],"in":[23,56],"patients":[24],"with":[25,82],"heart":[26,54],"failure":[27,55],"using":[28],"classification":[29,74,117],"techniques.":[30,84],"proposed":[32,86],"consists":[34],"three":[36,65,112],"main":[37],"steps:":[38],"a)":[39],"data":[40],"processing,":[41],"b)":[42],"feature":[43],"selection,":[44],"and":[45,80,107,113],"c)":[46],"classification.":[47],"estimation":[49],"severity":[52],"terms":[57],"NYHA":[59],"addressed":[62],"as":[63,71],"two,":[64,111],"and,":[66],"first":[69],"time,":[70],"four":[72,115],"problem.":[75],"Eleven":[76],"classifiers":[77],"are":[78],"employed":[79],"combined":[81],"resampling":[83],"evaluated":[89],"on":[90],"a":[91,97],"dataset":[92],"378":[94],"patients,":[95],"through":[96],"10-fold-cross-validation":[98],"approach.":[99],"highest":[101],"detection":[102],"accuracy":[103],"97,":[105],"87":[106],"67%":[108],"problem,":[118],"respectively.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
