Detection of Liver Disease Using Machine Learning Approach

PR Kshirsagar, DH Reddy, M Dhingra… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
For more effective therapy, it's critical to get an early diagnosis of liver illness. Due to the
disease's modest symptoms, it is a very difficult challenge for medical experts to forecast the …

Machine learning approaches for liver disease diagnosing

B Khan, R Naseem, M Ali, M Arshad… - International Journal of …, 2019 - ijdsaa.com
In ongoing time liver disease that is any damage in the liver capacity, are exceptionally
normal everywhere throughout the world. It has been found that liver disease is discovered …

[HTML][HTML] Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

NeuroSVM: a graphical user interface for identification of liver patients

K Nagaraj, A Sridhar - arXiv preprint arXiv:1502.05534, 2015 - arxiv.org
Diagnosis of liver infection at preliminary stage is important for better treatment. In todays
scenario devices like sensors are used for detection of infections. Accurate classification …

Performance assessment of classification algorithms on early detection of liver syndrome

R Naseem, B Khan, MA Shah, K Wakil… - Journal of …, 2020 - Wiley Online Library
In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally
normal everywhere throughout the world. It has been found that liver disease is exposed …

[PDF][PDF] Predicting liver patients using artificial neural network

MM Musleh, E Alajrami, AJ Khalil… - … Journal of Academic …, 2019 - researchgate.net
Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

Comparison of machine learning classification methods in hepatitis C virus

L Syafaâ, Z Zulfatman, I Pakaya… - Jurnal Online …, 2021 - join.if.uinsgd.ac.id
The hepatitis C virus (HCV) is considered a problem to the health of societies are the main.
There are around 120-130 million or 3% of the world's total population infected with HCV …

Intelligent model to predict early liver disease using machine learning technique

TM Ghazal, AU Rehman, M Saleem… - … for Technology and …, 2022 - ieeexplore.ieee.org
Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …

[HTML][HTML] Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt

H Mamdouh Farghaly, MY Shams… - … and Information Systems, 2023 - Springer
Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …

Examining the risk factors of liver disease: a machine learning approach

MS Hossen, I Haque, PR Sarkar… - 2022 7th …, 2022 - ieeexplore.ieee.org
Nowadays, Liver Disease (LD) is a very common clinical problem for human health and is
related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a …