{"id":"https://openalex.org/W2057267543","doi":"https://doi.org/10.1109/his.2013.6920459","title":"Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress","display_name":"Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2057267543","doi":"https://doi.org/10.1109/his.2013.6920459","mag":"2057267543"},"language":"en","primary_location":{"id":"doi:10.1109/his.2013.6920459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","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/A5059129932","display_name":"Tom\u00e1\u0161 Peterek","orcid":null},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Peterek","raw_affiliation_strings":["IT4innovations, Centre of Excellence","IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT4innovations, Centre of Excellence","institution_ids":[]},{"raw_affiliation_string":"IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072275934","display_name":"Pavel Dohn\u00e1lek","orcid":null},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Dohnalek","raw_affiliation_strings":["Department of Computer Science, FEECS","IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, FEECS","institution_ids":[]},{"raw_affiliation_string":"IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056523918","display_name":"Petr Gajdo\u0161","orcid":"https://orcid.org/0000-0003-1831-3489"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Gajdos","raw_affiliation_strings":["Department of Computer Science, FEECS","IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, FEECS","institution_ids":[]},{"raw_affiliation_string":"IT4innovations, Centre of Excellence, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008207578","display_name":"Maro\u0161 \u0160mondrk","orcid":"https://orcid.org/0000-0001-8216-3214"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Maros Smondrk","raw_affiliation_strings":["Department of Cybernetics and Biomedical Engineering, V\u0160 B-Technical University of Ostrava, Ostrava, Czech republic","Department of Cybernetics and Biomedical Engineering, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics and Biomedical Engineering, V\u0160 B-Technical University of Ostrava, Ostrava, Czech republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Cybernetics and Biomedical Engineering, V\u0160B - Technical University of Ostrava, 17. listopadu 15, Czech republic","institution_ids":["https://openalex.org/I142208455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1762,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.58020582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9962000250816345,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9958000183105469,"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/random-forest","display_name":"Random forest","score":0.8917819857597351},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6522344946861267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5905633568763733},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5862103700637817},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.535832405090332},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.48399877548217773},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4760565459728241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4708910584449768},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.46965351700782776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45141151547431946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37302184104919434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3370285630226135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3294641971588135}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8917819857597351},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6522344946861267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5905633568763733},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5862103700637817},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.535832405090332},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.48399877548217773},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4760565459728241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4708910584449768},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.46965351700782776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45141151547431946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37302184104919434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3370285630226135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3294641971588135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2013.6920459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2065831478","https://openalex.org/W2084627109","https://openalex.org/W2094410714","https://openalex.org/W2100534701","https://openalex.org/W2112716550","https://openalex.org/W2330820318","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"capabilities":[3],"of":[4,53],"the":[5,14,28,33,54,62,69,81],"Random":[6,57],"Forest":[7,58],"algorithm":[8,59],"are":[9,25],"tested":[10],"with":[11,27],"application":[12],"to":[13,61],"Parkinson's":[15],"disease":[16],"progression":[17],"that":[18],"can":[19],"be":[20],"determined":[21],"from":[22],"speech.":[23],"Results":[24],"compared":[26,50],"linear":[29],"regression":[30,73],"model":[31,64],"and":[32,35,42,49,66],"Classification":[34],"Regression":[36],"Tree":[37],"method.":[38],"Mean":[39,43],"Squared":[40],"Error":[41,45],"Absolute":[44],"values":[46],"were":[47],"calculated":[48],"for":[51,79],"each":[52],"approaches.":[55],"The":[56],"belongs":[60],"group":[63],"category":[65],"usually":[67],"improves":[68],"results":[70],"achieved":[71],"by":[72],"trees,":[74],"making":[75],"it":[76],"more":[77],"suitable":[78],"fighting":[80],"disease.":[82]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
