{"id":"https://openalex.org/W3212518986","doi":"https://doi.org/10.1109/icccnt51525.2021.9579704","title":"Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters","display_name":"Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3212518986","doi":"https://doi.org/10.1109/icccnt51525.2021.9579704","mag":"3212518986"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5029327748","display_name":"Sheikh Tonmoy","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Sheikh Tonmoy","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032469299","display_name":"Habiba Khan Hiya","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Habiba Khan Hiya","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637205","display_name":"Md. Zahid Hasan","orcid":"https://orcid.org/0000-0002-0132-1717"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Zahid Hasan","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032501418","display_name":"Khalid Hasan","orcid":"https://orcid.org/0000-0001-5012-4712"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"K. M. Zubair Hasan","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064486919","display_name":"Nusrat Zahan","orcid":"https://orcid.org/0000-0002-1469-7879"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nusrat Zahan","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029327748"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1665291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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":0.9990000128746033,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9531999826431274,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9376000165939331,"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/random-forest","display_name":"Random forest","score":0.6950939297676086},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6661059856414795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6563986539840698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601324737071991},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5925706028938293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5740324258804321},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5230651497840881},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5142540335655212},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4291515648365021},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42222219705581665},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3978589177131653},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.37361758947372437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2476384937763214},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20589995384216309},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09162619709968567}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6950939297676086},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6661059856414795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6563986539840698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601324737071991},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5925706028938293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5740324258804321},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5230651497840881},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5142540335655212},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4291515648365021},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42222219705581665},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3978589177131653},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.37361758947372437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2476384937763214},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20589995384216309},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09162619709968567},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"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":7,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2014018089","https://openalex.org/W2031298774","https://openalex.org/W2145391392","https://openalex.org/W2154528682","https://openalex.org/W2157117929","https://openalex.org/W2165693726"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,11,18,72,76,82,133,136,139,146,152,167],"breast":[4,86],"cancer":[5],"classification":[6],"has":[7,39],"piqued":[8],"attention":[9],"in":[10,24],"area":[12],"of":[13,22,31,43,54,65,79,85,114,135],"health-care":[14],"informatics":[15],"which":[16],"is":[17],"second":[19],"leading":[20],"cause":[21],"mortality":[23],"women":[25],"due":[26],"to":[27,74],"cancer.":[28],"The":[29,51],"spread":[30],"Breast":[32],"Cancer":[33],"growth":[34],"and":[35,49,56,68,98,106,126,129,149],"its":[36,47],"high":[37],"casualty":[38],"prodded":[40],"a":[41,112],"ton":[42],"research":[44],"for":[45,145,151],"contemplating":[46],"causes":[48],"medicines.":[50],"enormous":[52],"number":[53],"genes":[55],"their":[57,122,127],"entwining":[58],"relations":[59],"requires":[60],"progressed":[61],"AI":[62],"models,":[63],"instead":[64],"simple":[66],"statistical":[67],"correlation":[69,113],"analysis.":[70],"Having":[71],"objective":[73],"propel":[75],"present":[77],"status":[78],"knowledge":[80],"concerning":[81],"early":[83],"determination":[84],"cancer,":[87],"we":[88],"utilized":[89],"Random":[90],"Forest":[91],"(RF),":[92],"Logistic":[93],"Regression(LR),":[94],"Support":[95],"Vector":[96],"Machine(SVM),":[97],"Gaussian":[99,158],"Process(GP)":[100],"classifiers,":[101],"joined":[102],"with":[103,162],"testing":[104,153],"unique":[105],"novel":[107],"biomarkers.":[108],"This":[109],"paper":[110],"presents":[111],"these":[115],"Machine":[116],"Learning":[117],"(ML)":[118],"algorithms":[119],"by":[120],"estimating":[121],"order":[123,168],"test":[124,164],"exactness,":[125],"sensitivity":[128],"specificity":[130],"esteem.":[131],"For":[132],"execution":[134],"ML":[137],"calculations,":[138],"dataset":[140],"was":[141],"divided":[142],"into":[143],"80%":[144],"training":[147],"phase,":[148],"20%":[150],"phase.":[154],"Results":[155],"show":[156],"that":[157],"Process":[159],"performed":[160],"well":[161],"90%":[163],"exactness":[165],"on":[166],"task.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
