[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290780-105":59,"doc-detail-290780-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","chronic-kidney-disease-prediction-model-using-machine-learning-approach","Chronic kidney disease prediction model using machine learning approach","","Chronic kidney disease (CKD) and diabetes mellitus (DM) are examined with an early-diagnosis focus using machine learning in healthcare. The work develops an algorithm to predict CKD occurrence at an earlier stage by leveraging medical code data, aiming to support preventive measures and reduce healthcare costs. Common classification methods such as logistic regression, random forest, conditional random forest, and recurrent neural networks are considered for disease prediction. Healthcare-based prediction from real-time or secondary data targets improved public health outcomes.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/chronic-kidney-disease-prediction-model-using-machine-learning-approach/290780/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/chronic-kidney-disease-prediction-model-using-machine-learning-approach/290780.png","ImageObject",300,407,{"name":92,"@type":93},"River Wang","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main objective of the proposed work?","Question",{"text":112,"@type":113},"To develop an algorithm that predicts CKD occurrence at an earlier stage using machine learning.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which diseases are considered in the paper?",{"text":117,"@type":113},"Chronic kidney disease (CKD) and diabetes mellitus (DM) are considered, with DM also referred to as type II diabetes.",{"name":119,"@type":110,"acceptedAnswer":120},"Which classification algorithms are mentioned for prediction?",{"text":121,"@type":113},"The paper considers logistic regression, random forest, conditional random forest, and recurrent neural networks to predict disease earlier.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290780,1789642556,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":143,"preview_page_count":4},1099514067438,"https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542","Chronic kidney disease prediction model using machine  \nlearning approach  \nMunusamy Chitra, Abdul Kuthus Parveen, Murugadoss Elavarasi, Jayamoorthy Sangeetha,  \nRamalingam Vaittilingame  \nDepartment of Computer Applications, Perunthalaivar Kamarajar Arts College, Puducherry, India  \n\n| Article history:\u003Cbr>Received Mar 29, 2021 Revised Oct 5, 2021 Accepted Oct 27, 2021 |\n| --- |\n| Keywords:\u003Cbr>Chronic kidney disease Classification methods Health care\u003Cbr>Machine learning Medical code data |\n\nCorresponding Author:  \nChronic disease (CD) such as kidney disease and causes severe challenging issues to the people all around the world. Chronic kidney disease (CKD) and diabetes mellitus (DM) are considered in this paper. Predicting the diseases in earlier stage, gives better preventive measures to the people. Healthcare domain leads to tremendous cost savings and improved health status of the society. The main objective of this paper is to develop an algorithm to predict CKD occurrence using machine learning (ML) technique. The commonly used classification algorithms namely logistic regression (LR), random forest (RF), conditional random forest (CRF), and recurrent neural networks (RNN) are considered to predict the disease at an earlier stage. The proposed algorithm in this paper uses medical code data to predict disease atan earlier stage.  \nThis is an open access article under the CC BY-SA license.  \nMunusamy Chitra  \nDepartment of Computer Applications, Perunthalaivar Kamarajar Arts College Kalitheerthalkuppam, Puducherry 605107, India  \nEmail: [chitra.jrf@gmail.com](chitra.jrf@gmail.com)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nHealthcare system is the maintenance or improvement of health of a person in right manner. Health of a person depends on two categories such as mental and physical health. Mental health keeps the person happy and the physical health makes the person to do various physical activities without any difficulties. The preventive measures are early diagnosis of the disease, regular treatment to the patient and cure and recovery from the disease. Health care provider plays major role in health care domain (HCD) . The main focus of healthcare provider is to concentrate more on preventive measures rather than treating the patients [1], [2] .  \nHealthcare issue can be prevented by early diagnosis technique. Diagnosing disease at the initial stage provides better improvement and can able to identify the severity of the disease. Due to cost effective factor of disease prediction, people from the poor financial background not able to do at any instant of time. Hence a simple, reliable disease prediction algorithm is needed to identify the risk factors for future health improvement. Machine learning (ML) algorithms in HCD entirely based on medical data collected at realtime or secondary data collected from various sources to predict accurate outcome [3] .  \nSeveral chronic disease (CD) namely heart disease, cancer, and respiratory problems exist for a long period of time throughout a year or several years under follow up by the healthcare providers. CD causes major health issues to the individual which is the major reason for high death rate in all over the world. The“centre for disease control and prevention” states CD can be prevented at the start stage before going to the severe condition. An early detection or prediction of CD helps to reduce the severiority of the disease also cost effective to an individual [4], [5] . This paper concentrates on two CD’s namely chronic kidney disease (CKD) and diabetes mellitus (DM) . DM is also called as type II diabetes.  \nThe CKD is a major issue which fails the function of kidneys due to unwanted blood wastage storage in kidneys. At the earlier stage these diseases do not show any symptoms but at the later stage causes severe problem to the individual. The symtoms are tiredness, vomiting, and upset stomach. The disease at the final stage leads to kidney failure which needs ki","cbCaitcpAQTSTfMX","https://ap.wps.com/l/cbCaitcpAQTSTfMX","pdf",660079,"English","# ABSTRACT\n# INTRODUCTION\n## Preventive measures and early diagnosis\n## Chronic disease overview (CKD and DM)\n## Medical data and dataset categories\n## Table 1: Different types of medical data","[{\"question\":\"What is the main objective of the proposed work?\",\"answer\":\"To develop an algorithm that predicts CKD occurrence at an earlier stage using machine learning.\"},{\"question\":\"Which diseases are considered in the paper?\",\"answer\":\"Chronic kidney disease (CKD) and diabetes mellitus (DM) are considered, with DM also referred to as type II diabetes.\"},{\"question\":\"Which classification algorithms are mentioned for prediction?\",\"answer\":\"The paper considers logistic regression, random forest, conditional random forest, and recurrent neural networks to predict disease earlier.\"}]","Chronic kidney disease prediction model using machine learning approach | PDF",23]