[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120615-en":3,"doc-seo-120615-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120615,13056703020460,"Valentina","https://ap-avatar.wpscdn.com/avatar/be000253dac470eee5d?_k=1778207105932848923",8,"Research & Report","Comprehensive Data Analysis of Cancer Incidence Trends in Canada - Using Machine Learning","This study presents an in-depth analysis of cancer trends in Canada using advanced machine learning techniques to identify complex patterns and insights from extensive cancer data. The research aims to strengthen understanding of cancer epidemiology and support more effective prevention, diagnosis, and treatment strategies. Data are sourced from reputable organizations such as the Canadian Cancer Society and Statistics Canada, covering demographic, geographic, and clinical variables. Data preprocessing addresses missing values and normalization to ensure reliability, followed by supervised and time series models to reveal trends, patterns, and correlations with age, gender, and regional differences.","Comprehensive Data Analysis of Cancer Incidence Trends in Canada  \nUsing Machine Learning  \nby  \nEhsan Kaviani Zadeh  \nA thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the degree of Master of Science in Computational Sciences  \nThe Faculty of Graduate Studies Laurentian University Sudbury, Ontario, Canada  \n© Ehsan Kaviani Zadeh, 2024  \nTHESIS DEFENCE COMMITTEE/COMITÉ DE SOUTENANCE DE THÈSE Laurentian Université/Université Laurentienne  \nFaculty of Graduate Studies/Faculté des études supérieures  \nTitle of Thesis  \nTitre de la thèse  \nName of Candidate Nom du candidat  \nDegree Diplôme  \nDepartment/Program  \nDépartement/Programme  \nComprehensive Data Analysis of Cancer Incidence Trends in Canada Using Machine Learning  \nKaviani Zadeh, Ehsan  \nMaster of Science  \nDate of Defence  \nComputational Sciences Date de la soutenance August 09, 2024  \nAPPROVED/APPROUVÉ  \nThesis Examiners/Examinateurs de thèse:  \nDr Kalpdrum Passi  \n(Supervisor/Directeur(trice) de thèse)  \nDr. Ratvinder Grewal  \n(Committee member/Membre du comité)  \nDr. Luckny Zephyr  \n(Committee member/Membre du comité)  \nApproved for the Faculty of Graduate Studies Approuvé pour la Faculté des études supérieures Tammy Eger, PhD  \nVice-President Research (Faculty of Graduate Studies) Vice-Rectrice à la recherche (Faculté des Études supérieures Laurentian University / Université Laurentienne  \nDr. Dipali Virmani  \n(External Examiner/Examinateur externe)  \nACCESSIBILITY CLAUSE AND PERMISSION TO USE  \nI, Ehsan Kaviani Zadeh, hereby grant to Laurentian University and/or its agents the non-exclusive license to archive and make accessible my thesis, dissertation, or project report in whole or in part in all forms of media, now or for the duration of my copyright ownership. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also reserve the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by the professor or professors who supervised my thesis work or, in their absence, by the Head of the Department in which my thesis work was done. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that this copy is being made available in this form by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.  \nAbstract  \nThis study presents an in-depth analysis of cancer trends in Canada using advanced machinelearning techniques to extract complex patterns and insights from extensive cancer data. The research aims to deepen the understanding of cancer epidemiology in Canada and promote more effective strategies for prevention, diagnosis, and treatment. The study uses information from reputable organizations such as the Canadian Cancer Society and Statistics Canada databases. These data sets contain a wide range of demographic, geographic, and clinical variables that provide a robust basis for analysis. In the data preprocessing phase, problems such as missing values and data normalization are addressed, ensuring the subsequent analysis's reliability and validity. Central to this research is the application of various machine-learning models. These models will be carefully selected from supervised learning as well as time series models tuned to account for the nuances and complexities of cancer incidence data. The analysis will reveal significant trends and patterns and highlight correlations with demographic factors such as age, gender, and geographic differences across Canada. The results of this study ill","cbCaivLbrpqyQX43","https://ap.wps.com/l/cbCaivLbrpqyQX43","pdf",4882120,1,160,"English","en",105,"# Abstract\n# Dedication\n# Acknowledgments\n# Table of Contents","[{\"question\":\"What data sources are used for analyzing cancer incidence trends in Canada?\",\"answer\":\"The study uses information from sources such as the Canadian Cancer Society and Statistics Canada databases, which provide demographic, geographic, and clinical variables.\"},{\"question\":\"How does the study prepare the data before modeling?\",\"answer\":\"It addresses missing values and performs data normalization during preprocessing to improve the reliability and validity of subsequent analyses.\"},{\"question\":\"Which machine-learning approaches are central to the research?\",\"answer\":\"The study applies multiple machine-learning models, selecting from supervised learning and time series models tuned to capture the nuances of cancer incidence data.\"}]","Comprehensive Data Analysis of Cancer Incidence Trends in Canada - Using Machine Learning | PDF",1785730913,403,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"comprehensive-data-analysis-of-cancer-incidence-trends-in-canada-using-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/comprehensive-data-analysis-of-cancer-incidence-trends-in-canada-using-machine-learning/120615/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What data sources are used for analyzing cancer incidence trends in Canada?","Question",{"text":75,"@type":76},"The study uses information from sources such as the Canadian Cancer Society and Statistics Canada databases, which provide demographic, geographic, and clinical variables.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the study prepare the data before modeling?",{"text":80,"@type":76},"It addresses missing values and performs data normalization during preprocessing to improve the reliability and validity of subsequent analyses.",{"name":82,"@type":73,"acceptedAnswer":83},"Which machine-learning approaches are central to the research?",{"text":84,"@type":76},"The study applies multiple machine-learning models, selecting from supervised learning and time series models tuned to capture the nuances of cancer incidence data.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]