[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126617-en":3,"doc-seo-126617-105":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":21,"is_downloadable":21,"audit_status":21,"page_count":11,"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},126617,549768064622,"Anda","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Application and Analysis of Machine Learning Algorithms on Pima and Early Diabetes Datasets - for Diabetes Prediction","Diabetes is a chronic metabolic disorder in which inadequate insulin production or impaired insulin use leads to elevated blood glucose and long-term complications. Existing studies continue to face unresolved challenges due to limited datasets and prediction techniques, motivating the use of big data analytics and machine learning. The study applies Decision Tree, MLP, Naive Bayes, and Random Forest on the Pima and Early detection datasets. Model performance is assessed using accuracy and F-measure to support more precise risk prediction for diabetes development.","Application and Analysis of Machine Learning Algorithms on Pima and Early Diabetes Datasets for  \nDiabetes Prediction  \nLakshmi H N*1, Atluri Vani Vathsala2, Bhavik K Upadhyay3, A Narasimha Rao4  \n*1Professor, Computer Science and Engineering (AIML, CS and DS), CVR College of Engineering, Hyderabad.  \n[E-mail: hn.lakshmi@cvr.ac.in](E-mail: hn.lakshmi@cvr.ac.in)  \n2Professor, Department of Computer Science and Engineering, CVR College of Engineering, Hyderabad, India.  \n[Email: vani_vathsala@cvr.ac.in](Email: vani_vathsala@cvr.ac.in)  \n3IV Year B. Tech, CSIT, Department of Computer Science and Information Technology, CVR College of Engineering, Hyderabad, India. [Email: bhavikupadhyay08@gmail.com](Email: bhavikupadhyay08@gmail.com)  \n4Scrum Master, Tech Mahindra, Hyderabad, India.  \nMail Id: [a](atlurinr@yahoo.com)[tlurinr@yahoo.com](atlurinr@yahoo.com)  \nAbstract-Diabetes is a chronic condition that strike how your body burns food for energy. Much of the food you consume is converted by your body into sugar (glucose), which is then released into your bloodstream. Your pancreas releases insulin when your blood sugar levels rise. Over the years, several scholars have sought to create reliable diabetes prediction models. Due to a lack of adequate data sets and prediction techniques, this discipline still faces many unsolved research issues, which forces researchers to apply big data analytics and ML-based methodology. Four distinct machine learning algorithms are used in the study to analyze healthcare prediction analytics and solve the issues. In this investigation, the Pima and Early detection datasets were employed. We applied the Decision Tree, MLP, Naive Bayes, and Random Forest algorithms to these datasets and evaluated the accuracy and F-Measure. The goal of this research is to develop a system that could more precisely predict a patient's risk of developing diabetes.  \nKeywords:—Random Forest, Deep Neural Networks, Type 2 Diabetes, , Naive Bayes, and Supervised Learning.  \nI. INTRODUCTION  \nDiabetes is a chronic disease that has an mark on how your body uses food as fuel. Your body converts the bulk of the food you eat into sugar (glucose), which is subsequently released into your circulation. When your blood sugar levels increase, your pancreas releases insulin. Diabetes in its majority has no recognized definite cause. In every circumstance, blood sugar levels rise. This is a result of the pancreas' insufficient insulin production. Both types of diabetes may be catalyzed on by a combination of genetic and environmental factors. However, many diabetics claim that the most common symptoms of the disease are increased thirst, increased urination, exhaustion, and weight loss.  \nWhen the pancreas is unable to produce enough hypoglycemic agent, type 1 diabetes develops. \"Juvenile diabetes\" or \"insulindependent polygenic disease mellitus\" were terms used to describe this type (IDDM) . The type 1 polygenic disorder that disturbs children under 20 is unknown as to its cause. People with type 1 diabetes who rely on insulin injections go through life with pain. The doctors' advised exercise and fitness regimens must frequently be followed by diabetes patients. Ineffective systemic insulin utilization or insufficient pancreatic insulin  \nsynthesis are the two main contributing factors to diabetes, a chronic disease. Blood sugar is regulated by the hormone insulin. Hyperglycemia, or increased blood sugar [1], is a common complexity of uncontrolled diabetes that, over time, has a negative impact on a number of physiological systems, includingthe blood vessels and neurons., heart attacks strokes, blindness, Kidney disease, and lower limb amputation are all significantly more common in those with diabetes. Type 2 diabetes is mostly brought on by hypoglycemic agent resistance, which happens when cells do not react to hypoglycemic drugs as efficiently as they should. The sickness arises because there is no additional built-in hypoglycemi","cbCaid8HLBtXYDI3","https://ap.wps.com/l/cbCaid8HLBtXYDI3","pdf",429762,2,1,"English","en",105,"# Introduction\n## Diabetes basics and symptoms\n## Predictive analytics and supervised learning\n# Background Study","[{\"question\":\"Which machine learning algorithms are used for diabetes prediction in this study?\",\"answer\":\"The study uses Decision Tree, MLP, Naive Bayes, and Random Forest on the Pima and Early detection datasets.\"},{\"question\":\"How are the models evaluated in the paper?\",\"answer\":\"Performance is evaluated using accuracy and F-measure.\"},{\"question\":\"Why is early diabetes prediction considered important?\",\"answer\":\"Early identification helps at-risk individuals take action sooner, improving healthcare outcomes and enabling more accurate diagnosis and care planning.\"}]","Application and Analysis of Machine Learning Algorithms on Pima and Early Diabetes Datasets - for Diabetes Prediction | PDF",1785933761,20,{"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},"application-and-analysis-of-machine-learning-algorithms-on-pima-and-early-diabetes-datasets-for-diabetes-prediction","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":20},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/application-and-analysis-of-machine-learning-algorithms-on-pima-and-early-diabetes-datasets-for-diabetes-prediction/126617/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-27","2026-08-05",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},"Which machine learning algorithms are used for diabetes prediction in this study?","Question",{"text":75,"@type":76},"The study uses Decision Tree, MLP, Naive Bayes, and Random Forest on the Pima and Early detection datasets.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How are the models evaluated in the paper?",{"text":80,"@type":76},"Performance is evaluated using accuracy and F-measure.",{"name":82,"@type":73,"acceptedAnswer":83},"Why is early diabetes prediction considered important?",{"text":84,"@type":76},"Early identification helps at-risk individuals take action sooner, improving healthcare outcomes and enabling more accurate diagnosis and care planning.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,127,130,134],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"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":29,"slug":126},9,"Religion & Spirituality","religion-spirituality",{"id":29,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":29,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]