{"id":"https://openalex.org/W3041628990","doi":"https://doi.org/10.1080/23799927.2020.1792552","title":"Adding features from the mathematical model of breast cancer to predict the tumour size","display_name":"Adding features from the mathematical model of breast cancer to predict the tumour size","publication_year":2020,"publication_date":"2020-07-02","ids":{"openalex":"https://openalex.org/W3041628990","doi":"https://doi.org/10.1080/23799927.2020.1792552","mag":"3041628990"},"language":"en","primary_location":{"id":"doi:10.1080/23799927.2020.1792552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23799927.2020.1792552","pdf_url":null,"source":{"id":"https://openalex.org/S4210234901","display_name":"International Journal of Computer Mathematics Computer Systems Theory","issn_l":"2379-9927","issn":["2379-9927","2379-9935"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics: Computer Systems Theory","raw_type":"journal-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/A5051092392","display_name":"Ophir Nave","orcid":"https://orcid.org/0000-0001-5499-0036"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"OPhir Nave","raw_affiliation_strings":["Department of Mathematics, Jerusalem College of Technology, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Jerusalem College of Technology, Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051092392"],"corresponding_institution_ids":["https://openalex.org/I192238737"],"apc_list":null,"apc_paid":null,"fwci":0.9279,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80298087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"5","issue":"3","first_page":"159","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9930999875068665,"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/T10862","display_name":"AI in cancer detection","score":0.9930999875068665,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-model","display_name":"Mathematical model","score":0.6385104060173035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5571882128715515},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5375394821166992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48447370529174805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48318925499916077},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46914830803871155},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41279900074005127},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3418560028076172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3039736747741699},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24630045890808105},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14228275418281555},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08674266934394836}],"concepts":[{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.6385104060173035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5571882128715515},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5375394821166992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48447370529174805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48318925499916077},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46914830803871155},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41279900074005127},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3418560028076172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3039736747741699},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24630045890808105},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14228275418281555},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08674266934394836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/23799927.2020.1792552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23799927.2020.1792552","pdf_url":null,"source":{"id":"https://openalex.org/S4210234901","display_name":"International Journal of Computer Mathematics Computer Systems Theory","issn_l":"2379-9927","issn":["2379-9927","2379-9935"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics: Computer Systems Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1975641037","https://openalex.org/W1977281992","https://openalex.org/W2094650757","https://openalex.org/W2261427161","https://openalex.org/W2418612295"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W2079194830"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,45,108],"combine":[4],"a":[5,80],"theoretical":[6],"mathematical":[7,49,95,106],"model":[8,50,65,96,107],"with":[9,33,91],"machine":[10,67,83],"learning":[11,68,84],"(ML)":[12],"to":[13,74,111],"predict":[14,38,113],"tumour":[15,39,114],"sizes":[16],"in":[17,63],"breast":[18,34],"cancer.":[19,35],"Our":[20],"study":[21],"is":[22],"based":[23],"on":[24],"clinical":[25,76],"data":[26,77],"from":[27,104],"1869":[28],"women":[29],"of":[30,59,82],"various":[31],"ages":[32],"To":[36],"accurately":[37],"size":[40,115],"for":[41,51,116],"each":[42,52,117],"woman":[43],"individually,":[44],"solved":[46],"our":[47],"customized":[48],"woman,":[53],"then":[54],"added":[55],"the":[56,60,64,75,88,94,105],"solution":[57],"vector":[58],"dynamic":[61],"variables":[62],"(in":[66],"language,":[69],"these":[70],"are":[71],"called":[72],"features)":[73],"and":[78,92,97],"used":[79],"variety":[81],"algorithms.":[85],"We":[86],"compared":[87],"results":[89],"obtained":[90],"without":[93],"showed":[98],"that":[99],"by":[100],"adding":[101],"specific":[102],"features":[103],"were":[109],"able":[110],"better":[112],"woman.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
