{"id":"https://openalex.org/W3127020085","doi":"https://doi.org/10.24000/0409-2961-2021-1-79-87","title":"Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem","display_name":"Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127020085","doi":"https://doi.org/10.24000/0409-2961-2021-1-79-87","mag":"3127020085"},"language":"en","primary_location":{"id":"doi:10.24000/0409-2961-2021-1-79-87","doi":"https://doi.org/10.24000/0409-2961-2021-1-79-87","is_oa":false,"landing_page_url":"https://doi.org/10.24000/0409-2961-2021-1-79-87","pdf_url":null,"source":{"id":"https://openalex.org/S4210237962","display_name":"Occupational Safety in Industry","issn_l":"0409-2961","issn":["0409-2961","2658-5537"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Occupational Safety in Industry","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5142580939","display_name":"FGBOU VO \u00abOmGTU\u00bb","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"FGBOU VO \u00abOmGTU\u00bb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002828148","display_name":"V.V. Utyuganova","orcid":"https://orcid.org/0000-0002-0450-1684","observed_orcids":["https://orcid.org/0000-0002-0450-1684"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V.V. Utyuganova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043645898","display_name":"\u0421\u0435\u0440\u0434\u044e\u043a \u0412\u0438\u0442\u0430\u043b\u0438\u0439 \u0421\u0442\u0435\u043f\u0430\u043d\u043e\u0432\u0438\u0447","orcid":"https://orcid.org/0000-0002-8241-4092","observed_orcids":["https://orcid.org/0000-0002-8241-4092"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V.S. Serdyuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5142580939","display_name":"FGBOU VO \u00abOmGTU\u00bb","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"FGBOU VO \u00abOmGTU\u00bb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049668078","display_name":"\u0410.\u0418. \u0424\u043e\u043c\u0438\u043d","orcid":"https://orcid.org/0000-0003-3422-1410","observed_orcids":["https://orcid.org/0000-0003-3422-1410"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.I. Fomin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5142830595","display_name":"AO NTs VostNII","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"AO NTs VostNII","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"1","first_page":"79","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14091","display_name":"Industrial and Mining Safety","score":0.9307000041007996,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14091","display_name":"Industrial and Mining Safety","score":0.9307000041007996,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T13315","display_name":"Occupational Health and Safety in Workplaces","score":0.025800000876188278,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T14368","display_name":"Evaluation and Optimization Models","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/occupational-risk-assessment","display_name":"occupational risk assessment","score":0.9869999885559082},{"id":"https://openalex.org/keywords/risk-prediction","display_name":"risk prediction","score":0.75},{"id":"https://openalex.org/keywords/mining-industry","display_name":"mining industry","score":0.9129999876022339},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.8519999980926514},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.9150000214576721},{"id":"https://openalex.org/keywords/causal-relationship","display_name":"causal relationship","score":0.6970000267028809},{"id":"https://openalex.org/keywords/occupational-morbidity","display_name":"occupational morbidity","score":0.8980000019073486},{"id":"https://openalex.org/keywords/occupational-safety-management","display_name":"occupational safety management","score":0.5630000233650208},{"id":"https://openalex.org/keywords/preventive-measures","display_name":"preventive measures","score":0.6620000004768372}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.8373907804489136},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5829418301582336},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5447812676429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5185618996620178},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.48817187547683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40143340826034546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38036665320396423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28440383076667786},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2076840102672577},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17836475372314453},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1039632260799408},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08045610785484314}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24000/0409-2961-2021-1-79-87","doi":"https://doi.org/10.24000/0409-2961-2021-1-79-87","is_oa":false,"landing_page_url":"https://doi.org/10.24000/0409-2961-2021-1-79-87","pdf_url":null,"source":{"id":"https://openalex.org/S4210237962","display_name":"Occupational Safety in Industry","issn_l":"0409-2961","issn":["0409-2961","2658-5537"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Occupational Safety in Industry","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3088215384","https://openalex.org/W7164986168","https://openalex.org/W2886451758","https://openalex.org/W3039425910","https://openalex.org/W2353240419","https://openalex.org/W4255008592","https://openalex.org/W2944183202","https://openalex.org/W3082403751","https://openalex.org/W194339213","https://openalex.org/W2087244322"],"abstract_inverted_index":{"The":[0,94,146],"analysis":[1,39],"of":[2,25,37,40,51,58,80,88,96,110,118,143,153,160,177,186],"existing":[3],"methods":[4,42],"for":[5,15,54,71,121,191,199],"assessing":[6],"occupational":[7,60,73,108,123],"risks":[8,26,61,124],"is":[9,31,46,99,114,148],"carried":[10],"out,":[11],"and":[12,23,43,56,69,92,105,193,195],"the":[13,21,28,35,38,49,52,59,72,86,107,111,126,141,151,158,167,170,174,184,197],"need":[14],"searchinga":[16],"fundamentally":[17],"new":[18],"approach":[19],"to":[20,131,156],"assessment":[22,55,192],"prediction":[24,57,91],"in":[27,101,125,140],"mining":[29,127,171],"industry":[30],"substantiated.":[32],"Based":[33],"on":[34,169],"results":[36],"modern":[41],"technologies,":[44],"it":[45],"established":[47],"that":[48],"development":[50],"methodology":[53,120],"using":[62],"Bayes's":[63,97,129,154],"theorem":[64,98,155],"has":[65],"significant":[66],"advantages:":[67],"simplicity":[68],"accessibility":[70],"safety":[74],"specialists,":[75],"reproducibility":[76],"considering":[77],"many":[78],"factors":[79],"working":[81],"conditions,":[82],"as":[83,85],"well":[84],"possibility":[87,185],"preventive":[89],"measures":[90],"development.":[93],"application":[95,152],"promising":[100],"determining":[102],"cause-and-effect":[103,188],"relationships":[104,189],"predicting":[106],"morbidity":[109],"employees,":[112],"which":[113],"also":[115],"an":[116],"advantage":[117],"this":[119],"managing":[122],"industry.":[128,172],"approaches":[130],"modeling":[132],"are":[133,196],"characterized":[134],"by":[135],"high":[136],"performance,":[137],"intuitively":[138],"clear":[139],"form":[142],"a":[144,161],"graph.":[145],"example":[147],"given":[149],"concerning":[150],"assess":[157],"risk":[159],"fatal":[162],"incident":[163],"taking":[164],"into":[165],"account":[166],"statistics":[168],"Also,":[173],"simplest":[175],"types":[176],"Bayes\u2019s":[178],"trust":[179],"networks":[180],"were":[181],"developed":[182],"reflecting":[183],"establishing":[187],"(both":[190],"prediction),":[194],"basis":[198],"further":[200],"modeling.":[201]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2021-02-15T00:00:00"}
