liver disease prediction
Fatty liver disease (FLD) is a common clinical complication, is associated with high morbidity and mortality. A machine learning model has been using to predict liver disease that could assist physicians in classifying high-risk patients and make a novel diagnosis.
Liver disease prediction using SVM and Naïve Bayes algorithms
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In recent years in healthcare sectors, data mining became an ease of use for disease prediction . Data mining is the process of dredge up information from the massive datasets or warehouse or other repositories. It is a very challenging task to the researchers to predict the
A case-control study on insulin resistance, metabolic co-variates prediction score in non-alcoholic fatty liver disease
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Background objectives: Asian Indians have a high prevalence of insulin resistance and the metabolic syndrome. Currently, non-alcoholic fatty liver disease (NAFLD) is considered to be an integral part of the metabolic syndrome with insulin resistance as a central
Performance analysis of liver disease prediction using machine learning algorithms
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Data Mining is one of the most critical aspects of automated disease diagnosis and disease prediction . It involves data mining algorithms and techniques to analyze medical data. In recent years, liver disorders have excessively increased and liver diseases are becoming
Liver disease prediction by using different Decision Tree techniques
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Early prediction of liver disease is very important to save human life and take proper steps to control the disease . Decision Tree algorithms have been successfully applied in various fields especially in medical science. This research work explores the early prediction of liver
Improving the prediction accuracy of liver disorder disease with oversampling
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The complexity of liver makes it easily affected by disease of disorder. So diagnosing liver disorder disease is a high interest to data miners, and decision trees have been useful data mining tools to diagnose the disease , but the accuracy of decision trees has been limited
High sensitivity C-reactive protein as prediction factor of disease progression in patients with chronic hepatitis C and mild liver steatosis
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Hepatitis C virus (HCV) is a leader in inducing chronic liver disease worldwide. Chronic hepatitis C (CHC) is a major cause of liver cirrhosis and hepatocellular carcinoma. The HCV infection characterizes by its predisposition to chronicity. Because of its high genetic
Survey on machine learning algorithms for liver disease diagnosis and prediction
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Abstract Machine learning plays a vital role in health care industry. It is very important in Computer Aided Diagnosis. Computer Aided Diagnosis is a quickly developing dynamic region of research in medicinal industry. The current specialists in machine learning
Impact of Genetic Optimization on the Prediction Performance of Case-Based Reasoning Algorithm in Liver Disease
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Liver illness is the most hazardous ailment that influences a large number of individuals consistently and ends mans life. An effective diagnosis model is required in the process of liver disease treatment. This study accordingly aims to employ Case-Based Reasoning
Liver disease prediction using machine learning
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Data Mining technologies have been widely used in the process of medical diagnosis and prognosis, extensively. These data mining techniques have been used to analyze a colossal amount of medical data. The steep increase in the rate of obesity and an unhealthy lifestyle
Liver Disease Prediction and Diagnosis Expert System using Data Mining Techniques
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In recent days there is increase in deaths due to liver disorder problems. Liver is the largest internal organ and gland in human body. The liver functions involve in Digestion, Metabolism, Immunity and supply nutrients in the body. projection of liver disorders at
Strategic Analysis in Prediction of Liver Disease Using Different Classification Algorithms
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Abstract Liver diseases averts the normal function of the liver . Mainly due to the large amount of alcohol consumption liver disease arises. Early prediction of liver disease using classification algorithms is an efficacious task
Prediction of Drug Induced Liver Disease , Pre and Post Marketing
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Drug induced liver disease is one of the most important causes of drug withdrawals post marketing. The liver is an engine that creates and stores energy, metabolises and detoxifies chemicals through various pathways, each of which can be a target of liver injury
PREDICTION OF DISEASE PROGRESSION WITH DIFFERENT SEROLOGIC MARKERS AMONG PATIENTS WITH CHRONIC LIVER DISEASE
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Chronic liver diseases are characterized by progressive inflammation, tissue necrosis and regeneration of the liver . As they persist for years, fibrosis and later cirrhosis will develop, which is the end-stage of the diseases. According to a publication in 201 the mortality due
Prediction of Hepatorenal Syndrome by Model of End Stage Liver Disease Score
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Background: Hepatorenal Syndrome (HRS) is a sever complication of liver cirrhosis with ascites. Model for End-stage Liver Disease (MELD) is a widely accepted objective scoring system for patients with chronic liver disease . The aim of this study is to investigate if MELD
A Fuzzy APRI for Hepatic Fibrosis Prediction and Chronic Liver Disease Classification
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A Fuzzy Model for Hepatic Fibrosis Prediction and Chronic Liver Disease is proposed in this paper. This model is obtained by using a non-invasive, serological, and Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) approach. The chronic liver disease is a
Albumin-bilirubin grade allows accurate prediction of live births in patients with liver disease
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Methods: Cirrhotic patients who achieved an SVR and with a Child score≥ B7 prior to the start of treatment, were included. Pretreatment liver (pLV) and spleen (pSV) volumes were calculated from CT/MRI images obtained within 180 days of the start of HCV treatment and
Non-endoscopic parameters for prediction of esophagogastric varices in chronic liver disease patients A novel prediction score for the presence of varices
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Department of Internal
PREDICTION MODELS OF ADVANCED FIBROSIS IN MORBIDLY AND NON-MORBIDLY OBESE PATIENTS WITH NONALCOHOLIC FATTY LIVER DISEASE
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Background Aim Short bowel syndrome (SBS) is a condition characterized by malassimilation in part due to reduced intestinal surface area following resection of the intestines. SBS encompasses a wide functional spectrum ranging from mild intestinal
PREDICTION OF ESOPHAGEAL VARICES IN CHRONIC LIVER DISEASE PATIENTS BY USING FIBROSCAN, SPLEEN SIZE AND PLATELET COUNT
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Chronic liver disease is characterized by gradual destruction of hepatic tissue over time. The most common and deadly complication of chronic liver diseases is portal hypertension. Gastro esophageal varices, ascites, hepatic encephalopathy, hepatorenal syndrome