ML Projects - Liver disease prediction using machine learning
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![](https://www.facebook.com/dialog/feed?app_id=1767574003460647&link=https://pantechelearning.myinstamojo.com/product/ml-projects-liver-disease-prediction-using-m&picture=https://storeassets.im-cdn.com/temp/cuploads/ap-south-1%3Afe8af277-4cd5-47f4-b708-2cf09cc993b0/pantechelearning/products/1615976321645PAN-ML-024--5-.png&name=ML Projects - Liver disease prediction using machine learning&caption=undefined&description=<p class="ql-align-justify"><span style="color: rgb(0, 0, 0); background-color: transparent;">Liver diseases are becoming one of the most fatal diseases in several countries. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. liver patient datasets are investigate for building classification models in order to predict liver disease. This dataset was used to evaluate prediction algorithms in an effort to reduce burden on doctors. </span><span style="color: rgb(0, 0, 0);">In that paper, we proposed as checking the whole patient Liver Disease using Machine learning algorithms.</span><strong style="color: rgb(0, 0, 0); background-color: transparent;"> </strong><span style="color: rgb(0, 0, 0); background-color: transparent;">Chronic liver disease refers to disease of the liver which lasts over a period of six months.</span><span style="color: rgb(0, 0, 0);"> So in that, we will take results of how much percentage patients get disease as a positive information and negative information. Using classifiers, we are processing Liver Disease percentage and values are showing as a confusion matrix. We proposed a various classification scheme which can effectively improve the classification performance in the situation that training dataset is available. In that dataset, we have nearly 500 patient details. We will get all that details from there. Then we will good and bad values are using machine learning classifier.</span><span style="color: rgb(0, 0, 0); background-color: transparent;"> </span><span style="color: rgb(0, 0, 0);">Thus outputs shows from proposed classification model indicate that Accuracy in predicting the result. </span></p><p><br></p>&redirect_uri=http://www.facebook.com)
ML Projects - Liver disease prediction using machine learning
₹
5,200
₹
6,000
13% off
Exclusive of taxes
Share this
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Liver diseases are becoming one of the most fatal diseases in several countries. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful
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