{"id":"https://openalex.org/W2057479870","doi":"https://doi.org/10.1016/j.ijar.2013.03.016","title":"Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare","display_name":"Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare","publication_year":2013,"publication_date":"2013-04-16","ids":{"openalex":"https://openalex.org/W2057479870","doi":"https://doi.org/10.1016/j.ijar.2013.03.016","mag":"2057479870"},"language":"en","primary_location":{"id":"doi:10.1016/j.ijar.2013.03.016","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijar.2013.03.016","pdf_url":null,"source":{"id":"https://openalex.org/S33368595","display_name":"International Journal of Approximate Reasoning","issn_l":"0888-613X","issn":["0888-613X","1873-4731"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Approximate Reasoning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cris.maastrichtuniversity.nl/en/publications/eef1d393-63ad-41c7-ae4f-2ccb6239e8ad","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060511206","display_name":"Marina Velikova","orcid":"https://orcid.org/0000-0002-9739-5488"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Marina Velikova","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028180101","display_name":"Josien Terwisscha van Scheltinga","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I2802934949","display_name":"Radboud University Medical Center","ror":"https://ror.org/05wg1m734","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2802934949"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Josien Terwisscha van Scheltinga","raw_affiliation_strings":["Department of Obstetrics and Gynaecology, Radboud University Nijmegen Medical Centre, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynaecology, Radboud University Nijmegen Medical Centre, The Netherlands","institution_ids":["https://openalex.org/I145872427","https://openalex.org/I2802934949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007761892","display_name":"Peter Lucas","orcid":"https://orcid.org/0000-0001-5454-2428"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter J.F. Lucas","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017222414","display_name":"Marc E. A. Spaanderman","orcid":"https://orcid.org/0000-0002-7837-5019"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marc Spaanderman","raw_affiliation_strings":["Department of Obstetrics and Gynaecology Maastricht University Medical Center The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynaecology Maastricht University Medical Center The Netherlands","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060511206"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":{"value":2960,"currency":"USD","value_usd":2960},"apc_paid":null,"fwci":11.3676,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.98284828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"55","issue":"1","first_page":"59","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.984499990940094,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.984499990940094,"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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T11629","display_name":"Birth, Development, and Health","score":0.9283000230789185,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/bayesian-network","display_name":"Bayesian network","score":0.7792986631393433},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6928776502609253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916903853416443},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6313610672950745},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5656748414039612},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5175725221633911},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5121331214904785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4891674816608429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48278892040252686},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41773882508277893},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.41115057468414307},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.351458877325058},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.34621530771255493},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.33273541927337646},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13166257739067078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12444594502449036}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7792986631393433},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6928776502609253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916903853416443},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6313610672950745},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5656748414039612},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5175725221633911},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5121331214904785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4891674816608429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48278892040252686},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41773882508277893},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.41115057468414307},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.351458877325058},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.34621530771255493},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.33273541927337646},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13166257739067078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12444594502449036},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.ijar.2013.03.016","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijar.2013.03.016","pdf_url":null,"source":{"id":"https://openalex.org/S33368595","display_name":"International Journal of Approximate Reasoning","issn_l":"0888-613X","issn":["0888-613X","1873-4731"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Approximate Reasoning","raw_type":"journal-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/eef1d393-63ad-41c7-ae4f-2ccb6239e8ad","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/eef1d393-63ad-41c7-ae4f-2ccb6239e8ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Velikova, M, van Scheltinga, J T, Lucas, P J F & Spaanderman, M 2014, 'Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare', International Journal of Approximate Reasoning, vol. 55, no. 1, pp. 59-73. https://doi.org/10.1016/j.ijar.2013.03.016","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/126095","is_oa":true,"landing_page_url":"https://hdl.handle.net/2066/126095","pdf_url":"https://hdl.handle.net/2066/126095","source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article / Letter to editor"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/126095","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/126095","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Approximate Reasoning, 55, 59 - 73","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/eef1d393-63ad-41c7-ae4f-2ccb6239e8ad","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/eef1d393-63ad-41c7-ae4f-2ccb6239e8ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Velikova, M, van Scheltinga, J T, Lucas, P J F & Spaanderman, M 2014, 'Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare', International Journal of Approximate Reasoning, vol. 55, no. 1, pp. 59-73. https://doi.org/10.1016/j.ijar.2013.03.016","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W76332699","https://openalex.org/W177292747","https://openalex.org/W181660137","https://openalex.org/W202812959","https://openalex.org/W1489174353","https://openalex.org/W1492518391","https://openalex.org/W1505477995","https://openalex.org/W1531518640","https://openalex.org/W1553180010","https://openalex.org/W1845497437","https://openalex.org/W1969260982","https://openalex.org/W1980026986","https://openalex.org/W1989020770","https://openalex.org/W2001507510","https://openalex.org/W2001625933","https://openalex.org/W2009407439","https://openalex.org/W2012977240","https://openalex.org/W2013004398","https://openalex.org/W2019047064","https://openalex.org/W2020087026","https://openalex.org/W2029800614","https://openalex.org/W2041517232","https://openalex.org/W2047757580","https://openalex.org/W2054157277","https://openalex.org/W2075693373","https://openalex.org/W2080368748","https://openalex.org/W2080398755","https://openalex.org/W2099404850","https://openalex.org/W2099769692","https://openalex.org/W2100216539","https://openalex.org/W2101736851","https://openalex.org/W2102908383","https://openalex.org/W2116981799","https://openalex.org/W2118894578","https://openalex.org/W2120324514","https://openalex.org/W2122059901","https://openalex.org/W2135128148","https://openalex.org/W2137090072","https://openalex.org/W2137336956","https://openalex.org/W2143185875","https://openalex.org/W2149607859","https://openalex.org/W2160153755","https://openalex.org/W2164032772","https://openalex.org/W2169523351","https://openalex.org/W2486749091","https://openalex.org/W2564727329","https://openalex.org/W4249348410","https://openalex.org/W6611461585","https://openalex.org/W6632961615","https://openalex.org/W6675507097","https://openalex.org/W6680268727","https://openalex.org/W6776395006"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2272354214","https://openalex.org/W2120383820","https://openalex.org/W2043010663","https://openalex.org/W2667588871","https://openalex.org/W4248308508","https://openalex.org/W118554674","https://openalex.org/W1734881440"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":8}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}