{"id":"https://openalex.org/W1978087782","doi":"https://doi.org/10.1109/memea.2014.6860085","title":"A personal profile based patient-specific anytime risk calculation model","display_name":"A personal profile based patient-specific anytime risk calculation model","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1978087782","doi":"https://doi.org/10.1109/memea.2014.6860085","mag":"1978087782"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2014.6860085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2014.6860085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5014262651","display_name":"Edit T\u00f3th-Laufer","orcid":"https://orcid.org/0000-0001-8362-4334"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Edit Toth-Laufer","raw_affiliation_strings":["Doctoral School of Applied Informatics, \u00d3buda University, Budapest, Hungary","Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Doctoral School of Applied Informatics, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Annamaria R. Varkonyi-Koczy","raw_affiliation_strings":["Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","Inst. of Mechatron. & Vehicle Eng., Obuda Univ., Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics and Vehicle Engineering, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Inst. of Mechatron. & Vehicle Eng., Obuda Univ., Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3848,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62542301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T11209","display_name":"Cardiovascular and exercise physiology","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative 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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9715999960899353,"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/computer-science","display_name":"Computer science","score":0.7399404644966125},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6316128969192505},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6070666313171387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5535599589347839},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.5318094491958618},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5241494178771973},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4114193618297577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3917381167411804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38944563269615173},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11917516589164734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399404644966125},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6316128969192505},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6070666313171387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5535599589347839},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.5318094491958618},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5241494178771973},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4114193618297577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917381167411804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38944563269615173},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11917516589164734},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2014.6860085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2014.6860085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W186305244","https://openalex.org/W1578832603","https://openalex.org/W1671643704","https://openalex.org/W1992926874","https://openalex.org/W2002590204","https://openalex.org/W2021545905","https://openalex.org/W2031361855","https://openalex.org/W2051429090","https://openalex.org/W2121453044","https://openalex.org/W2145039676","https://openalex.org/W2155989294","https://openalex.org/W2983017410","https://openalex.org/W3119924594","https://openalex.org/W6678275537"],"related_works":["https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2376320687","https://openalex.org/W4256356876","https://openalex.org/W2394235543","https://openalex.org/W2373226572","https://openalex.org/W4383890670","https://openalex.org/W2343691239","https://openalex.org/W2127672515","https://openalex.org/W2381188315"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,30,40,53,57,64,87,96,108,113,118,123,127,131,135,143],"significance":[2],"of":[3,39,130,134],"model":[4,21,38,74],"based":[5,28],"health":[6],"monitoring":[7],"systems":[8],"has":[9],"grown.":[10],"In":[11],"this":[12],"paper,":[13],"an":[14],"improved":[15],"realtime":[16],"sport":[17],"activity":[18],"risk":[19,36,144],"calculation":[20,37],"is":[22,27,43,75],"introduced.":[23],"The":[24,72],"new":[25,73,100],"approach":[26],"on":[29],"previously":[31],"reported":[32],"anytime":[33],"hierarchical":[34],"fuzzy":[35],"authors":[41,97],"which":[42,105],"able":[44],"to":[45,112],"handle":[46],"some":[47],"uncertainties,":[48],"imprecision,":[49],"and":[50,55,60,70,89,126,142],"subjectivity":[51],"in":[52,56],"data":[54,90,115],"evaluation":[58,88],"process":[59],"can":[61,138,146],"cope":[62],"with":[63,77],"dynamically":[65],"changing":[66,129],"environment,":[67],"available":[68],"time,":[69],"resources.":[71],"extended":[76],"further":[78],"patient-specific":[79],"features":[80],"like":[81],"tuned":[82],"membership":[83],"functions":[84],"applied":[85],"during":[86,92],"recorded":[91,116],"previous":[93],"measurements.":[94],"Furthermore,":[95],"propose":[98],"a":[99],"pre-processing":[101],"procedure":[102],"as":[103],"well,":[104],"allows":[106],"comparing":[107],"currently":[109],"measured":[110],"values":[111],"stored":[114],"under":[117],"same":[119],"conditions.":[120],"By":[121],"this,":[122],"person-dependent":[124],"characteristics":[125],"unavoidable":[128],"dynamic":[132],"reactions":[133],"human":[136],"organism":[137],"also":[139],"be":[140,149],"considered":[141],"level":[145],"more":[147],"reliable":[148],"predicted.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}