[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117089-en":3,"doc-seo-117089-105":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":4,"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},117089,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","EARLY DETECTION OF ADHD AMONG CHILDREN USING MACHINE LEARNING","Early detection of attention-deficit/hyperactivity disorder (ADHD) in children supports timely intervention and improves outcomes. Functional magnetic resonance imaging (fMRI) is presented as a valuable tool for understanding neural foundations associated with ADHD. The work explores how fMRI can contribute to ADHD diagnosis by measuring brain activity patterns and identifying functional abnormalities. It further discusses machine learning methods to analyze fMRI data, extract relevant biomarkers, and enable more accurate classification for personalized intervention and targeted care strategies.","EARLY DETECTION OF ADHD AMONG CHILDREN USING MACHINE LEARNING  \nNUR ATIQAH BINTI KAMAL  \nBachelor of Computer Science (Software Engineering) with Honours  \nUNIVERSITI MALAYSIA PAHANG  \nUNIVERSITI MALAYSIA PAHANG  \n\n| DECLARATION OF THESIS AND COPYRIGHT\u003Cbr>Author’s Full Name :  NUR ATIQA H B INTI KAMAL \u003Cbr>Date ofBirth :  \u003Cbr>Title :  EARLY DETECTION OF ADHD AMONG CHILDREN \u003Cbr>USING MACHINE LEARNING\u003Cbr>_____________________________________________________\u003Cbr>_____________________________________________________\u003Cbr>Academic Session :  SEMESTER II SESSION 2022/2023 \u003Cbr>I declare that this thesis is classified as: |  |  |\n| --- | --- | --- |\n| 􀂅 CONFIDENTIAL\u003Cbr>􀂅 RESTRICTED | (Contains confidential information under the Official Secret Act 1997)*\u003Cbr>(Contains restricted information as specified by the |  |\n| organization where research was done)*\u003Cbr>􀀻 OPEN ACCESS I agree that my thesis to be published as online open access\u003Cbr>(Full Text)\u003Cbr>I acknowledge that Universiti Malaysia Pahang reserves the following rights:\u003Cbr>1. The Thesis is the Property of Universiti Malaysia Pahang\u003Cbr>2. The Library of Universiti Malaysia Pahang has the right to make copies of the thesis for the purpose of research only.\u003Cbr>3. The Library has the right to make copies of the thesis for academic exchange.\u003Cbr>Certified by: |  |  |\n| (Student’s Signature)\u003Cbr>NUR ATIQAH BINTI KAMAL\u003Cbr>Date: 24/06/23 |  | (Supervisor’s Signature)\u003Cbr>AHMAD FAKHRI BIN AB. NASIR\u003Cbr>Name of Supervisor Date: 24/06/23 |\n\nTHESIS DECLARATION LETTER (OPTIONAL)  \nLibrarian,  \nPerpustakaan Universiti Malaysia Pahang,  \nUniversiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan.  \nDear Sir,  \nCLASSIFICATION OF THESIS AS RESTRICTED  \nPlease be informed that the following thesis is classified as RESTRICTED for a period of three (3) years from the date of this letter. The reasons for this classification are as listed below.  \nAuthor’s Name  \nThesis Title  \nReasons (i)  \n(ii)  \n(iii)  \nThank you.  \nYours faithfully,  \n(Supervisor’s Signature)  \nDate:  \nStamp:  \nNote: This letter should be written by the supervisor, addressed to the Librarian, Perpustakaan Universiti Malaysia Pahang with its copy attached to the thesis.  \nSUPERVISOR’S DECLARATION  \nI/We* hereby declare that I/We* have checked this thesis/project* and in my/our* opinion, this thesis/project* is adequate in terms of scope and quality for the award of the degree of Bachelor of Computer Science (Software Engineering)  \n(Supervisor’s Signature)  \nFull Name : AHMAD FAKHRI BIN AB. NASIR  \nPosition : SENIOR LECTURER  \nDate : 24 JUNE 2023  \n(Co-supervisor’s Signature) Full Name :  \nPosition :  \nDate :  \nSTUDENT’S DECLARATION  \nI hereby declare that the work in this thesis is based on my original work except for quotations and citations which have been duly acknowledged. I also declare that it has not been previously or concurrently submitted for any other degree at Universiti Malaysia Pahang or any other institutions.  \n(Student’s Signature)  \nFull Name : NUR ATIQAH BINTI KAMAL  \nID Number : CB20178  \nDate : 9 JUNE 2023  \nEARLY DETECTION OF ADHD  \nAMONG CHILDREN USING  \nMACHINE LEARNING  \nNUR ATIQAH BINTI KAMAL  \nThesis submitted in fulfillment of the requirements for the award of the degree of  \nBachelor of Computer Science (Software Engineering) with Honours  \nFaculty of Computing  \nUNIVERSITI MALAYSIA PAHANG  \nJUNE 2023  \nACKNOWLEDGEMENTS  \nFirst and foremost, I would like to thank my supervisor, Dr. Ahmad Fakhri Bin Ab Nasir, for his direction, encouragement, and support throughout this project. Dr. Ahmad Fakhri Bin Ab Nasir guided me through the research process and successfully helped me finish this project with their knowledge and patience.  \nI owe a sincere debt of appreciation to my family for their constant support and inspiration along this trip. They have been my source of encouragement and inspiration; without them, I would not have been able to complete the task. Their compassion and kindness have served ","cbCaipXWyspUkNKm","https://ap.wps.com/l/cbCaipXWyspUkNKm","pdf",1931992,1,137,"English","en",105,"# Acknowledgements\n# Abstrak / Abstract\n# Thesis Declaration and Copyright Declaration\n# Supervisor’s Declaration\n# Student’s Declaration","[{\"question\":\"Why is early detection of ADHD in children important?\",\"answer\":\"Early detection enables timely intervention, leading to improved outcomes for children with ADHD.\"},{\"question\":\"How does fMRI support ADHD-related investigation?\",\"answer\":\"fMRI measures brain activity patterns and helps reveal functional abnormalities associated with ADHD.\"},{\"question\":\"What role does machine learning play in the proposed approach?\",\"answer\":\"Machine learning analyzes fMRI data to identify biomarkers and support accurate classification for diagnosis and intervention.\"}]","EARLY DETECTION OF ADHD AMONG CHILDREN USING MACHINE LEARNING | PDF",1785673698,345,{"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},"early-detection-of-adhd-among-children-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/early-detection-of-adhd-among-children-using-machine-learning/117089/",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","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is early detection of ADHD in children important?","Question",{"text":75,"@type":76},"Early detection enables timely intervention, leading to improved outcomes for children with ADHD.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does fMRI support ADHD-related investigation?",{"text":80,"@type":76},"fMRI measures brain activity patterns and helps reveal functional abnormalities associated with ADHD.",{"name":82,"@type":73,"acceptedAnswer":83},"What role does machine learning play in the proposed approach?",{"text":84,"@type":76},"Machine learning analyzes fMRI data to identify biomarkers and support accurate classification for diagnosis and intervention.","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"]