[HTML][HTML] Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning
A Guo, NR Mazumder, DP Ladner, RE Foraker - PloS one, 2021 - journals.plos.org
Objective Liver cirrhosis is a leading cause of death and effects millions of people in the
United States. Early mortality prediction among patients with cirrhosis might give healthcare …
United States. Early mortality prediction among patients with cirrhosis might give healthcare …
Predicting infectious state of hepatitis c virus affected patient's applying machine learning methods
Hepatitis C virus is a major cause for happening liver disease all over the world. However,
many tools have been build that try to reduce the influence of this virus. In this work, a …
many tools have been build that try to reduce the influence of this virus. In this work, a …
Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method
Hepatitis, a common liver inflammation, is one of the major public health issues around the
world. Proper interpretation of clinical data for the diagnosis of hepatitis is an important …
world. Proper interpretation of clinical data for the diagnosis of hepatitis is an important …
[HTML][HTML] A DenseNet CNN-based liver lesion prediction and classification for future medical diagnosis
Liver disease diagnosis is a major medical challenge in developing nations. Every year
around 30 billion people face liver failure issues resulting in their death. The past liver …
around 30 billion people face liver failure issues resulting in their death. The past liver …
Deep convolutional neural network-aided detection of portal hypertension in patients with cirrhosis
Background & Aims Noninvasive and accurate methods are needed to identify patients with
clinically significant portal hypertension (CSPH). We investigated the ability of deep …
clinically significant portal hypertension (CSPH). We investigated the ability of deep …
Extreme learning machine framework for risk stratification of fatty liver disease using ultrasound tissue characterization
Abstract Fatty Liver Disease (FLD) is caused by the deposition of fat in liver cells and leads
to deadly diseases such as liver cancer. Several FLD detection and characterization …
to deadly diseases such as liver cancer. Several FLD detection and characterization …
[HTML][HTML] Machine-learning monitoring system for predicting mortality among patients with noncancer end-stage liver disease: retrospective study
YJ Lin, RJ Chen, JH Tang, CS Yu, JL Wu… - JMIR medical …, 2020 - medinform.jmir.org
Background: Patients with end-stage liver disease (ESLD) have limited treatment options
and have a deteriorated quality of life with an uncertain prognosis. Early identification of …
and have a deteriorated quality of life with an uncertain prognosis. Early identification of …
[HTML][HTML] Hybrid classification of diffuse liver diseases in ultrasound images using deep convolutional neural networks
Despite the fact that liver biopsy is considered to be the gold standard for detecting diffuse
liver diseases, it is an invasive method with numerous side effects. Diffuse liver diagnosis …
liver diseases, it is an invasive method with numerous side effects. Diffuse liver diagnosis …
[HTML][HTML] Decision support system for predicting survivability of hepatitis patients
Background and Objective Viral hepatitis is a major public health concern on a global scale.
It predominantly affects the world's least developed countries. The most endemic regions are …
It predominantly affects the world's least developed countries. The most endemic regions are …
An efficient diagnosis system for detection of liver disease using a novel integrated method based on principal component analysis and k-nearest neighbor (pca-knn)
A Singh, B Pandey - Intelligent Systems: Concepts, Methodologies …, 2018 - igi-global.com
Talk about organ failure and people immediately recall kidney diseases. On the contrary,
there is no such alertness about liver diseases and its failure despite the fact that this …
there is no such alertness about liver diseases and its failure despite the fact that this …