[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118833-en":3,"doc-seo-118833-105":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},118833,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",7,"Healthcare","Liver Cancer Identification Grid Search RFC Model using Machine Learning","Liver is a vital organ for digestion of sugars and fats, absorption, and immune functions, while liver disorders impose a growing health burden and are hard to detect early because function may remain normal despite partial damage. Machine learning is used to improve diagnostic efficiency and to prevent delays in care. The primary goal is accurate and timely liver-cancer diagnosis with fewer erroneous predictions, ensuring patients receive reliable results as soon as possible.","Liver Cancer Identification Grid Search RFC Model using Machine  \nLearning  \nMs. Sunita Kumari  \nM. Tech Student  \nSobhasaria group of institutions  \nSikar, India  \n[mandiwallsunita@gmail.com](mandiwallsunita@gmail.com)  \n[Mr.Gourav Mitawa](Mr.Gourav Mitawa)  \nAssistant Professor  \nSobhasaria group of institutions  \nSikar, India  \n[gouravmitawa028@gmail.com](gouravmitawa028@gmail.com)  \n\n| Article History\u003Cbr>Article Submission\u003Cbr>20 December 2022\u003Cbr>Revised Submission\u003Cbr>15 January 2023\u003Cbr>Article Accepted\u003Cbr>25 February 2023\u003Cbr>Article Published\u003Cbr>30 March 2023 | Abstract\u003Cbr>Liver is essential to the body's digestion of sugar and fats, absorption, and immunological system. This substance is present in almost everything a man takes in, breathes, or absorbs through his skin. Liver disorders are a significant health burden. It is increasing daily and is difficult to detect in its early stages since the liver may function normally even when partially damaged. Doctors have widely employed machine learning algorithms to diagnose liver illness in order to increase the efficiency of medical diagnosis. The study's primary aim is to evaluate how machine learning algorithms may be used to prevent postponing medical care, accurately diagnose liver illness, and minimize the number of erroneous diagnoses provided to sick patients. The main objective is to ensure that liver patients receive an accurate diagnosis as soon as possible.\u003Cbr>Keywords-Classifier, Random Forest, Logistic Regression, Support vector, RFC |\n| --- | --- |\n\nI. INTRODUCTION  \nThe liver is the most important organ in the human body. The liver of an adult weighs roughly 3 pounds. The ribcage shields the liver, which is situated on the right side beneath the right lung. It resembles a chemical plant. Digestion and the transformation of food into protein and bile depend on the liver's healthy operation. This controls the elimination and disrupts a number of intestinal nutrients. With the aid of vitamins, carbohydrates, and minerals stored in the liver, it breaks down several nutrients from the intestine and regulates the excretion of cholesterol to produce rapid energy when required. The basic unit of the body's tissues is the cell. Growing and differentiating into new cells is a property of all cells. whenever the old cell or the injured new cell. The approach frequently fails. The body doesn't make any new cells, but tissues made of ageing and damaged cells might create nodules or tumors. Males are diagnosed with liver cancer at a rate of 5 percent, while females are diagnosed at a rate of 9 percent. In 2018, there were about 840,000 new cases. Mongolia, Egypt, and Mongolia had the highest rates of liver cancer in 2018. .[1], [2]  \nThe liver is a triangular-shaped organ that covers the entire stomach opening and is located just below the diaphragm. The right half of the body is largely occupied by the liver, which moves relentlessly in the direction of the right kidney. The liver is made up of tiny, connective tissue-coated, pinkish-cocoa tissues. The peritoneum of the stomach cavity maintains and reinforces this casing by securing and supporting the liver inside the mid-region.  \nAdditionally, the liver performs the function of a filter by removing potentially harmful compounds from the bloodstream before they can reach the brain.  \nII. RELATED WORK  \nA comprehensive assessment of 37 research articles, their processing, and enhancement approaches, published between 2009 and 2021, was conducted.[Kahramanli et al. 2009][4] Utilize the provided neural network to develop an adaptive activation function for rule extraction. [Lin et al. 2010] [5] The intelligent liver diagnosis models are used to make early diagnoses of liver illnesses in this paper. ANN, the Analytic hierarchy process (AHP), and CBRare all used in the intelligent liver diagnosis models.  \n[Vahini et al. 2015] [6]involves the use of an information retrieval technique to diagnose liver cancer. We compared the p","cbCaiizXzKQV5SjF","https://ap.wps.com/l/cbCaiizXzKQV5SjF","pdf",214182,1,5,"English","en",105,"# Introduction\n## Liver function and disease burden\n# Related Work\n## Survey of 2009–2021 machine learning approaches\n# Proposed Method\n## Evaluation of ML algorithms on liver datasets\n## Dimensionality reduction and optimization","[{\"question\":\"Why is early liver-cancer detection difficult?\",\"answer\":\"Liver may continue to function normally even when partially damaged, so early-stage disorders can be hard to detect without effective diagnostic methods.\"},{\"question\":\"What is the main objective of using machine learning in this study?\",\"answer\":\"To accurately diagnose liver illness and reduce delayed medical care and the number of incorrect diagnoses for patients.\"},{\"question\":\"Which machine learning algorithms are considered in the proposed method?\",\"answer\":\"Support Vector Machine, Logistic Regression, and Random Forest are included, alongside dimensionality reduction and optimization to assess performance variation.\"}]","Liver Cancer Identification Grid Search RFC Model using Machine Learning | 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is early liver-cancer detection difficult?","Question",{"text":75,"@type":76},"Liver may continue to function normally even when partially damaged, so early-stage disorders can be hard to detect without effective diagnostic methods.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the main objective of using machine learning in this study?",{"text":80,"@type":76},"To accurately diagnose liver illness and reduce delayed medical care and the number of incorrect diagnoses for patients.",{"name":82,"@type":73,"acceptedAnswer":83},"Which machine learning algorithms are considered in the proposed method?",{"text":84,"@type":76},"Support Vector Machine, Logistic Regression, and Random Forest are included, alongside dimensionality reduction and optimization to assess performance 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