{"id":"https://openalex.org/W4386257476","doi":"https://doi.org/10.1109/icit58056.2023.10226053","title":"Predicting Patient's Willingness for Colorectal Cancer Screening Practices Using Machine Learning Classifiers","display_name":"Predicting Patient's Willingness for Colorectal Cancer Screening Practices Using Machine Learning Classifiers","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4386257476","doi":"https://doi.org/10.1109/icit58056.2023.10226053"},"language":"en","primary_location":{"id":"doi:10.1109/icit58056.2023.10226053","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58056.2023.10226053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","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/A5075718696","display_name":"Ahmad Sharieh","orcid":"https://orcid.org/0000-0002-0290-2468"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Ahmad Sharieh","raw_affiliation_strings":["The University of Jordan,Department of Computer Science,Amman,Jordan","Department of Computer Science, The University of Jordan, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"The University of Jordan,Department of Computer Science,Amman,Jordan","institution_ids":["https://openalex.org/I114972647"]},{"raw_affiliation_string":"Department of Computer Science, The University of Jordan, Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065482565","display_name":"Nesreen A. Hamad","orcid":"https://orcid.org/0000-0003-1542-8731"},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Nesreen A. Hamad","raw_affiliation_strings":["Al-Zaytoonah University of Jordan,Department of Artificial Intellegince,Amman,Jordan","Department of Artificial Intellegince, Al-Zaytoonah University of Jordan, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"Al-Zaytoonah University of Jordan,Department of Artificial Intellegince,Amman,Jordan","institution_ids":["https://openalex.org/I145019703"]},{"raw_affiliation_string":"Department of Artificial Intellegince, Al-Zaytoonah University of Jordan, Amman, Jordan","institution_ids":["https://openalex.org/I145019703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092712139","display_name":"Heba I. Abu Kaf","orcid":null},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Heba I. Abu Kaf","raw_affiliation_strings":["The University of Jordan,Department of Computer Science,Amman,Jordan","Department of Computer Science, The University of Jordan, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"The University of Jordan,Department of Computer Science,Amman,Jordan","institution_ids":["https://openalex.org/I114972647"]},{"raw_affiliation_string":"Department of Computer Science, The University of Jordan, Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021881203","display_name":"Fuad H. Abuadas","orcid":"https://orcid.org/0000-0002-4880-0862"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Al Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Fuad H. Abuadas","raw_affiliation_strings":["Jouf University,Community Health Nursing Department,Sakaka,Saudia Arabia","Community Health Nursing Department, Jouf University, Sakaka, Saudia Arabia"],"affiliations":[{"raw_affiliation_string":"Jouf University,Community Health Nursing Department,Sakaka,Saudia Arabia","institution_ids":["https://openalex.org/I199702508"]},{"raw_affiliation_string":"Community Health Nursing Department, Jouf University, Sakaka, Saudia Arabia","institution_ids":["https://openalex.org/I199702508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075718696"],"corresponding_institution_ids":["https://openalex.org/I114972647"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43960074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"98","issue":null,"first_page":"178","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9746000170707703,"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/T10862","display_name":"AI in cancer detection","score":0.9641000032424927,"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":0.822245717048645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7867798209190369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7815923690795898},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.7207920551300049},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6971635222434998},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5638700723648071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5459299683570862},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.5040215849876404},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4684078097343445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4657979905605316},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.42538633942604065},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.36105185747146606},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3061795234680176},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.16263702511787415},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.12475189566612244}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.822245717048645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7867798209190369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7815923690795898},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.7207920551300049},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6971635222434998},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5638700723648071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5459299683570862},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.5040215849876404},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4684078097343445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4657979905605316},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.42538633942604065},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36105185747146606},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3061795234680176},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.16263702511787415},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.12475189566612244},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58056.2023.10226053","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58056.2023.10226053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6100000143051147,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483507679","https://openalex.org/W1757407923","https://openalex.org/W1915214327","https://openalex.org/W1967539118","https://openalex.org/W1994893611","https://openalex.org/W2005043054","https://openalex.org/W2012035409","https://openalex.org/W2061533513","https://openalex.org/W2077728549","https://openalex.org/W2143153057","https://openalex.org/W2302302587","https://openalex.org/W2593887714","https://openalex.org/W2892252638","https://openalex.org/W2911667253","https://openalex.org/W2966483024","https://openalex.org/W2987743911","https://openalex.org/W2993280565","https://openalex.org/W3009963727","https://openalex.org/W3011074767","https://openalex.org/W3031602164","https://openalex.org/W3047040425","https://openalex.org/W3088047400","https://openalex.org/W3126232929","https://openalex.org/W3178723556","https://openalex.org/W3185344733","https://openalex.org/W3204399207","https://openalex.org/W3209019826","https://openalex.org/W4205687621","https://openalex.org/W4221032229","https://openalex.org/W7030086968"],"related_works":["https://openalex.org/W38301456","https://openalex.org/W3091887760","https://openalex.org/W2076543106","https://openalex.org/W2144770046","https://openalex.org/W2592717708","https://openalex.org/W1528743689","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W3133985961"],"abstract_inverted_index":{"Diagnosing":[0],"and":[1,22,34,58,69,104,116,130,168,194],"treating":[2],"colorectal":[3],"cancer":[4,27],"(CRC)":[5],"at":[6],"its":[7],"earlier":[8],"stages":[9],"is":[10,19,112,138],"considered":[11],"a":[12,96],"significant":[13],"public":[14],"health":[15,59,131,195],"issue":[16],"since":[17],"it":[18],"the":[20,40,63,76,85,118,139,149,177,180,184,190,198,205,212],"second":[21],"third":[23],"most":[24],"commonly":[25],"diagnosed":[26],"in":[28,107],"both":[29],"genders.":[30],"However,":[31],"early":[32],"identification":[33],"screening":[35,71],"of":[36,56,78,128,179,192],"CRC":[37,68,89],"can":[38,61],"increase":[39],"survival":[41],"rate":[42],"to":[43,50,65,114,125,148],"more":[44],"than":[45],"90%.":[46],"Employing":[47],"machine":[48,80,119],"learning":[49,81,120],"study":[51],"individual":[52],"predictors":[53],"(socio-demographics,":[54],"level":[55,127,191],"knowledge,":[57,129],"beliefs)":[60],"affect":[62],"willingness":[64,87],"screen":[66],"for":[67,83,88],"enhance":[70],"rates.":[72],"This":[73],"paper":[74,175],"presents":[75,176],"application":[77],"five":[79],"classifiers":[82,92],"predicting":[84],"patient's":[86],"screening.":[90],"The":[91,110,186],"are":[93],"tested":[94],"on":[95],"dataset":[97,111],"obtained":[98,182],"from":[99],"Jordan":[100],"University":[101],"Hospital":[102,106],"(JUH)":[103],"Albasheer":[105],"Amman,":[108],"Jordan.":[109],"used":[113],"train":[115],"test":[117],"models":[121],"with":[122,165],"attributes":[123,181],"related":[124],"socio-demographics,":[126],"beliefs.":[132],"By":[133],"applying":[134],"10-fold":[135],"cross-validation,":[136],"90.9%":[137],"best-obtained":[140],"accuracy":[141,200],"using":[142],"Random":[143,161],"Forest":[144,162],"(RF)":[145],"classifier":[146],"compared":[147],"accuracies":[150],"achieved":[151],"by":[152,183],"Multi-layer":[153],"Perceptron":[154],"(MLP)":[155],"Neural":[156],"Network,":[157],"Logistic":[158],"Regression":[159],"(LR),":[160],"(RF),":[163],"J48":[164],"Decorate":[166],"algorithm,":[167],"multi-objective":[169],"evolutionary":[170],"fuzzy":[171],"classifier.":[172],"Additionally,":[173],"this":[174],"importance":[178],"RF.":[185],"results":[187],"show":[188],"that":[189],"knowledge":[193],"beliefs":[196],"impact":[197],"prediction":[199],"almost":[201],"as":[202,204],"well":[203],"socio-demographic":[206],"attributes,":[207],"where":[208],"omitting":[209],"them":[210],"decreases":[211],"accuracy.":[213]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
