Machine Learning in liver disease diagnosis: Current progress and future opportunities
N Tanwar, KF Rahman - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …
the medical domain. By using the concepts of big data, deep learning, and machine …
HANN: a hybrid model for liver syndrome classification by feature assortment optimization
L Anand, SP Syed Ibrahim - Journal of medical systems, 2018 - Springer
Early detection of any sort of disease is mandatory for effective medical treatment. Medical
diagnosis relies heavily on Data Mining for automated disease classification and detection. It …
diagnosis relies heavily on Data Mining for automated disease classification and detection. It …
Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis
Background Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective
treatment, disease progression prevention, complication reduction, and life-saving …
treatment, disease progression prevention, complication reduction, and life-saving …
Prediction of liver diseases based on machine learning technique for big data
EA El-Shafeiy, AI El-Desouky… - … International conference on …, 2018 - Springer
Liver diseases have produced a big data such as metabolomics analyses, electronic health
records, and report including patient medical information, and disorders. However, these …
records, and report including patient medical information, and disorders. However, these …
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud
Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
A machine learning approach based on SVM for classification of liver diseases
The liver is an organ in the body that plays an important role in the production and secretion
of the bile. Recently, the number of liver patients are increasing because of the inhalation of …
of the bile. Recently, the number of liver patients are increasing because of the inhalation of …
Heart disease and liver disease prediction using machine learning
In this paper, we have researched the prediction of heart illness and liver infection through
the process of machine learning (ML) in the point of data analytics. We already know that the …
the process of machine learning (ML) in the point of data analytics. We already know that the …
A novel computer-aided diagnostic system for early assessment of hepatocellular carcinoma
Early assessment of liver cancer patients with hepatocellular carcinoma (HCC) is of
immense importance to provide the proper treatment plan. In this paper, we developed a two …
immense importance to provide the proper treatment plan. In this paper, we developed a two …
A novel machine learning approach for early detection of hepatocellular carcinoma patients
Liver cancer is quite common type of cancer among individuals worldwide. Hepatocellular
carcinoma (HCC) is the malignancy of liver cancer. It has high impact on individual's life and …
carcinoma (HCC) is the malignancy of liver cancer. It has high impact on individual's life and …
Predictive analysis on severity of non-alcoholic fatty liver disease (nafld) using machine learning algorithms
Fatty Liver Disease (FLD) is a frequent clinical impediment that is linked with high weariness
and mortality. Despite that, an early prediction and diagnosis provide the patient with …
and mortality. Despite that, an early prediction and diagnosis provide the patient with …